Relevant bibliographies by topics / Energy-efficient planning

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'Energy-efficient planning'

Author: Grafiati
Published: 20 February 2023

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Journal articles on the topic "Energy-efficient planning"

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Müller, Egon, Romina Poller, Hendrik Hopf, and Manuela Krones. "Enabling Energy Management for Planning Energy-efficient Factories." Procedia CIRP 7 (2013): 622–27. http://dx.doi.org/10.1016/j.procir.2013.06.043.

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Rämä, Miika, and Krzysztof Klobut. "Tools for Planning Energy Efficient District Systems." Proceedings 2, no. 15 (August 23, 2018): 1132. http://dx.doi.org/10.3390/proceedings2151132.

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An open-source planning tool for the evaluation district cooling systems is developed within project INDIGO. The tool is based on optimisation model consisting of a defined set of components in a district cooling (DC) system. The approach links up the whole energy chain from consumption to resources achieve an optimal solution. The tool will enable assessment on effects of single components on a system level and provide data for comparison from energy efficiency, economic feasibility and the climate impact point of view. Life cycle assessment (LCA) framework will be utilised as a method for both economic feasibility and climate impact evaluation. This paper reviews the related projects and positions INDIGO planning tool in this context.
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Tuominen, Pekka, Olli Stenlund, Charlotte Marguerite, Nicolas Pardo-Garcia, Elina Grahn, Janne Huvilinna, and Branislav Iglar. "Cityopt planning tool for energy efficient cities." International Journal of Sustainable Development and Planning 12, no. 03 (April 1, 2017): 570–79. http://dx.doi.org/10.2495/sdp-v12-n3-570-579.

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Jones, Dylan, and Geoffrey A. Hollinger. "Planning Energy-Efficient Trajectories in Strong Disturbances." IEEE Robotics and Automation Letters 2, no. 4 (October 2017): 2080–87. http://dx.doi.org/10.1109/lra.2017.2719760.

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Newman, S. T., A. Nassehi, R. Imani-Asrai, and V. Dhokia. "Energy efficient process planning for CNC machining." CIRP Journal of Manufacturing Science and Technology 5, no. 2 (January 2012): 127–36. http://dx.doi.org/10.1016/j.cirpj.2012.03.007.

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GOW, STEPHEN. "ENERGY EFFICIENT HOUSING." Australian Planner 31, no. 4 (January 1994): 227–35. http://dx.doi.org/10.1080/07293682.1994.9657642.

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Neugebauer, Reimund, Carsten Hochmuth, Gerhard Schmidt, and Martin Dix. "Energy Efficient Process Planning Based on Numerical Simulations." Advanced Materials Research 223 (April 2011): 212–21. http://dx.doi.org/10.4028/www.scientific.net/amr.223.212.

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The main goal of energy-efficient manufacturing is to generate products with maximum value-added at minimum energy consumption. To this end, in metal cutting processes, it is necessary to reduce the specific cutting energy while, at the same time, precision requirements have to be ensured. Precision is critical in metal cutting processes because they often constitute the final stages of metalworking chains. This paper presents a method for the planning of energy-efficient machining processes based on numerical simulations. It encompasses two levels of planning flexibility: process adjustment and process design. At the process adjustment level, within the constraints of existing machines and tools, numerical simulations of orthogonal cutting are used to determine cutting parameters for increased energy efficiency. In this case, the model encompasses specific cutting energy, tool wear, chip geometry, and burr shape. These factors determine the energy and resources required for the chip formation itself, tool replacements, cleaning and deburring and with that the overall energy efficiency and precision. In the context of process design, with the ability to select machines, machine configurations, tools, and cooling systems, numerical simulations of cutting processes that incorporate machine and tool conditions are applied in the planning of energy-efficient machining. The method is demonstrated for the case of drilling processes and supported by experimental investigations that identify the main influences on energy efficiency in drilling.
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Rodríguez, Fabio, José-Miguel Díaz-Báñez, Ernesto Sanchez-Laulhe, Jesús Capitán, and Aníbal Ollero. "Kinodynamic planning for an energy-efficient autonomous ornithopter." Computers & Industrial Engineering 163 (January 2022): 107814. http://dx.doi.org/10.1016/j.cie.2021.107814.

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Amado, Miguel, Francesca Poggi, and António Ribeiro Amado. "Energy efficient city: A model for urban planning." Sustainable Cities and Society 26 (October 2016): 476–85. http://dx.doi.org/10.1016/j.scs.2016.04.011.

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Pecenak, Zachary K., Michael Stadler, and Kelsey Fahy. "Efficient multi-year economic energy planning in microgrids." Applied Energy 255 (December 2019): 113771. http://dx.doi.org/10.1016/j.apenergy.2019.113771.

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Dissertations / Theses on the topic "Energy-efficient planning"

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Ogunniyi, Samuel. "Energy efficient path planning: the effectiveness of Q-learning algorithm in saving energy." Master's thesis, University of Cape Town, 2014. http://hdl.handle.net/11427/13308.

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Includes bibliographical references.
In this thesis the author investigated the use of a Q-learning based path planning algorithm to investigate how effective it is in saving energy. It is important to pursue any means to save energy in this day and age, due to the excessive exploitation of natural resources and in order to prevent drops in production in industrial environments where less downtime is necessary or other applications where a mobile robot running out of energy can be costly or even disastrous, such as search and rescue operations or dangerous environment navigation. The study was undertaken by implementing a Q-learning based path planning algorithm in several unstructured and unknown environments. A cell decomposition method was used to generate the search space representation of the environments, within which the algorithm operated. The results show that the Q-learning path planner paths on average consumed 3.04% less energy than the A* path planning algorithm, in a square 20% obstacle density environment. The Q-learning path planner consumed on average 5.79% more energy than the least energy paths for the same environment. In the case of rectangular environments, the Q-learning path planning algorithm uses 1.68% less energy, than the A* path algorithm and 3.26 % more energy than the least energy paths. The implication of this study is to highlight the need for the use of learning algorithm in attempting to solve problems whose existing solutions are not learning based, in order to obtain better solutions.
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Bousia, Alexandra. "Design of energy efficient network planning schemes for LTE-based cellular networks." Doctoral thesis, Universitat Politècnica de Catalunya, 2016. http://hdl.handle.net/10803/386393.

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The rapid expansion of mobile services and the emerging demand for multimedia applications have led to an impressive traffic growth. To this end, Mobile Network Operators (MNOs) seek to extend their infrastructure by installing more Base Stations (BSs), in an effort to increase the network capacity and meet the pressing traffic demands. Furthermore, to fulfill the escalated demands, Heterogeneous Networks (HetNets), which consist of Small Cells (SCs) and the traditional BSs, constitute the new trend of next generation networks. The deployed infrastructure implies a rise in the Capital Expenditures and has a direct impact on the network energy consumption, thus resulting in higher Operational Expenditures. Hence, the investigation of energy efficient solutions will bring down the energy consumption and the network cost. Since the BS is the most power hungry component, the research community has shifted towards the investigation of BS deactivation schemes. These schemes propose that part of the infrastructure can be temporarily switched off, when the traffic is low, while the active BSs extend their coverage to serve the network. Based on a comprehensive review of the state-of-the-art, a set of research opportunities were identified. This thesis provides contributions to the field of BS switching off strategies for wireless macro BSs networks and HetNets of single and multiple MNOs by proposing mechanisms that enhance different aspects of the network performance. The BSs deactivation, the innovative trend of infrastructure sharing and the financially driven collaboration among the involved parties of the current and future networks promise significant improvements in terms of energy and cost savings. The main thesis contributions are divided into three parts, described next. The first part of the thesis introduces innovative BS switching off approaches in single-operator environments, where only macro BSs are deployed. The proposed strategies exploit the inherit characteristics of the traffic load pattern (e.g., distribution of the users, traffic volume, etc.) and the distinctive features of the wireless cellular networks (e.g., BSs position, topology, etc.). Theoretical analysis and computer-based simulations show the performance improvement offered by the switching off strategies with respect to energy efficiency. The second part of the thesis explores a different challenge in network planning. The coexistence of multiple MNOs in the same geographical area has motivated a new business model, known as infrastructure sharing. A roaming-based deactivation scheme is proposed, by taking into account the rationality and the conflicting interests of the MNOs. The proposed game theoretic framework enables the MNOs to take individual switching off decisions, thus bypassing potential complicated agreements. The theoretical and simulation results show that our proposal significantly improves the energy efficiency, guaranteeing at the same time the throughput in realistic scenarios. Moreover, the proposed scheme provides higher cost efficiency and fairness compared to the state-of-the-art algorithms, motivating the MNOs to adopt game theoretic strategies. The third part of the thesis focuses on the exploitation of HetNets and the proposal of energy and cost effective strategies in SC networks with multiple MNOs. We effectively address the cost sharing by proposing accurate cost models for the SCs to share the network cost. Taking into account the impact of the traffic on the cost, we propose novel cost sharing policies that provide a fair outcome. In continuation, innovative auction-based schemes within multiobjective optimization framework are introduced for data offloading from the BSs, owned by the MNOs, to the third-party SC networks. The proposed solution captures the conflicting interests of the MNOs and the third-party companies and the obtained results show that the benefit of proposing switching off approaches for HetNets.
La rápida expansión de los servicios móviles y de la demanda emergente de aplicaciones multimedia han dado lugar a un impresionante crecimiento del tráfico. Operadores de redes móviles (MNOs) tratará de extender su infraestructura mediante la instalación de más estaciones base (BSs), en un esfuerzo por aumentar la capacidad de la red y satisfacer las apremiantes demandas de tráfico. Además, para cumplir con las exigencias escalada, redes heterogéneas (HetNets), constituyen la nueva tendencia de las redes de próxima generación. La infraestructura implica un aumento en los gastos de capital y tiene un impacto directo en el consumo de energía a la red, lo que resulta en un aumento de los gastos operacionales. La investigación de soluciones de eficiencia energética hará bajar el consumo de energía y el coste de la red. La comunidad científica se ha desplazado hacia la investigación de los sistemas de desactivación de BSs. Estos esquemas proponen que parte de la infraestructura se puede cdesectivarse, cuando el tráfico es bajo, mientras que los BSs activas extender su cobertura al servicio de la red. Esta tesis ofrece contribuciones al campo de la BSs desconexión para las redes y HetNets con uno o multiples MNOs, proponiendo mecanismos que mejoran diferentes aspectos del rendimiento de la red. La desactivación de BS,s la tendencia innovadora de compartir infraestructura y la colaboración impulsada financieramente entre las partes implicadas de las redes actuales y futuras prometen mejoras significativas en términos de ahorro energético y económico. Las principales contribuciones de tesis se dividen en tres partes, que se describen a continuación. La primera parte de la tesis introduce innovadora apagar enfoques en entornos de un solo operador, donde se despliegan sólo macro BSs. Las estrategias propuestas explotan las características de tráfico (por ejemplo, la distribución de los usuarios, el volumen de tráfico, etc.) y las características distintivas de las redes (por ejemplo, la posición BS, topología, etc.). Análisis teórico y simulaciones muestran la mejora del rendimiento ofrecido por las estrategias de conmutación con respecto a la eficiencia energética. La segunda parte de la tesis explora un reto diferente en la planificación de la red. La coexistencia de múltiples operadores en la misma zona geográfica ha motivado un nuevo modelo de negocio, conocida como la compartición de infraestructura. Se propone un esquema de desactivación basada en itinerancia, teniendo en cuenta la racionalidad y los intereses en conflicto de los operadores de redes móviles. Los resultados teóricos y de simulación muestran que nuestra propuesta mejora significativamente la eficiencia energética, garantizando al mismo tiempo el rendimiento en escenarios realistas. Por otra parte, el esquema propuesto proporciona una mayor eficiencia de costes y la equidad en comparación con los algoritmos del estado de la técnica, motivar al mnos de adoptar estrategias de teoría de juegos. La tercera parte de la tesis se centra en la explotación de HetNets y la propuesta de estrategias eficaces de energía y costes en las redes con múltiples operadores. Nos dirigimos efectivamente la participación en los costos, proponiendo modelos de costos precisos para para compartir el costo de la red. Teniendo en cuenta el impacto del tráfico en el coste, proponemos políticas costos compartidos novedosas que proporcionan un resultado justo. En la continuación, los esquemas basados en subastas innovadoras dentro de marco de optimización multiobjetivo se introducen los datos que descargan de la BS. La solución propuesta recoge los intereses en conflicto de los operadores de redes móviles y las compañías de terceros y los resultados obtenidos muestran que el beneficio de proponer la desconexión se acerca para HetNets
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Kadi, H. E. "Energy conservation in urban planning : An ecological approach towards the development of more energy efficient urban patterns." Thesis, University of Liverpool, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.234615.

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Lorenz, Michael [Verfasser], Burkhard [Akademischer Betreuer] Corves, and Andreas [Akademischer Betreuer] Müller. "Energy-efficient trajectory planning for robot manipulators / Michael Lorenz ; Burkhard Corves, Andreas Müller." Aachen : Universitätsbibliothek der RWTH Aachen, 2021. http://d-nb.info/1230322957/34.

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Giridharan, R. "Energy efficient design : an investigation on collective urban built form /." Thesis, Hong Kong : University of Hong Kong, 1996. http://sunzi.lib.hku.hk/hkuto/record.jsp?B25803979.

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Fernández, Linares David. "Multiperiod modelling planning and productivity and energy efficient assessment of an industrial gases facility." Doctoral thesis, Universitat Rovira i Virgili, 2018. http://hdl.handle.net/10803/666482.

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El creixement de la demanda energètica i el continu desenvolupament tecnològic de la societat estan sobrepassant els límits mediambientals del nostre planeta. Sense les mesures adequades, aquesta situació podria derivar en importants problemes mediambientals que causarien danys irreversibles al medi ambient i al benestar de la humanitat. El sector industrial és el principal consumidor energètic, amb una demanda al voltant d’un terç de la global, un aspecte que té un evident efecte negatiu amb l’impacte mediambiental. Per tant, el repte de mitigar el canvi climàtic implicarà millores en l’ús de la energia a la industria, generant grans oportunitats d’estalvi energètic i reduint el seu impacte mediambiental. En aquest sentit, es essencial obtenir informació derivada de la investigació i l’anàlisi científic que permeti desenvolupar solucions focalitzades en la reducció de costos energètics. Aquesta tesis ha tractat les necessitats particulars de la producció de gasos industrials, creant eines basades en l’optimització matemàtica que permeten una presa de decisions operatives més àgil i efectiva i detectant àrees per la millora energètica. Aquestes eines fomenten i avancen cap a una industria més eficient que permeti un futur més sostenible. Aquesta tesis té dos contribucions principals. D’una banda, s’ha desenvolupat una eina d’optimització multiperiod que permet obtenir la configuració d’operació òptima (des del punt de vista econòmic i energètic) d’un procés de producció de gasos industrials, tenint en compte totes les seves variables. Per altra banda, s’utilitza la metodologia de Data Envelopment Analisis per a comparar diferents unitats de producció de gasos industrials, identificant els focus d’ineficiència i fent recomanacions per a resoldre’ls.
El crecimiento de la demanda energética y el continuo desarrollo tecnológico de la sociedad están sobrepasando los límites medioambientales de nuestro planeta. Sin las medidas adecuadas, esta situación puede derivar en importantes problemas medioambientales que podrían causar daños irreversibles al medioambiente y al bienestar de la humanidad. El sector industrial es el principal consumidor energético, consumiendo alrededor de un tercio de la demanda energética global, lo que tiene una evidente relación negativa con el impacto ambiental. Por lo tanto, el reto de mitigar el cambio climático implicará mejoras del uso de la energía en la industria, creando grandes oportunidades de ahorro energético y reduciendo su impacto ambiental. Para ello, es esencial obtener información derivada de la investigación y el análisis científico que permita desarrollar soluciones enfocadas a la reducción de costes energéticos. Esta tesis ha tratado las necesidades particulares de la producción de gases industriales, creando herramientas basadas en la optimización matemática que permiten una toma de decisiones operativas más ágil y efectiva y detectando áreas para la mejora energética. Estas herramientas fomentan y avanzan hacia una industria más eficiente que permita un futuro más sostenible. Esta tesis tiene dos contribuciones principales. Por un lado, se crea una herramienta de optimización multiperiodo que permite obtener la configuración de operación óptima (desde el punto de vista económico y energético) de un proceso de producción de gases industriales, teniendo en cuenta todas sus variables. Por otro lado, se usa la metodología de Data Envelopment Analysis para comparar diferentes unidades de producción de gases industriales, identificando los focos de ineficiencia y haciendo recomendaciones para resolverlos. En definitiva, esta tesis ofrece un conjunto de herramientas prácticas y efectivas que apoyan el proceso de toma de decisiones en actividades industriales y permiten la identificación de oportunidades de mejora energética.
The growth of energy demand and the continuous technological development of society are surpassing the environmental limits of our planet. Without adequate measures, this situation can lead to serious environmental problems that could cause irreversible damage to the environment and the well-being of humanity. The industrial sector is the largest energy consumer, with about one-third of global energy demand, which has an evident negative relationship with environmental impact. Therefore, the challenge of mitigating climate change will imply improvements in the energy use in industry, creating great opportunities for energy savings and reducing its environmental impact. In this sense, it is essential to obtain information derived from research and scientific analysis that allows developing solutions focused on the reduction of energy costs. This thesis has dealt with the particular needs of the production of industrial gases, by creating tools based on mathematical optimization models that allow much more agile and effective operational decision-making as well as the detection of areas for energy improvement. These tools encourage and move towards a more efficient industry that allow a more sustainable future. Two main contributions are derived from this thesis. On the one hand, it creates a multiperiod optimization tool that allows obtaining the optimal operational configuration (from the economic and energetic points of view) of an industrial gas manufacturing process, taking into account all the variables that affect the system. On the other hand, the Data Envelopment Analysis methodology is used to compare different industrial gas production units, identifying inefficiency sources and making recommendations to adopt the best practices to solve them. Summarizing, this thesis offers a set of practical and effective tools that support the decision making process in industrial activities and allows the identification of opportunities for energy improvement.
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Khan, Waqar. "Methodology for estimating thermal performance of buildings for better planning and energy efficient investments." Thesis, KTH, Hållbara byggnader, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-284686.

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This master thesis aims to find a method to separate the household-electricity usage fromheating-electricity and to estimate the thermal performance of buildings using the datasetavailable. The dataset includes electricity consumption of buildings, number of occupants, typeof heating system, climate data (temperature, wind speed etc.) which would be used toestimate the thermal performance of the single-family dwellings. The data set comprises ofhourly data of total electric consumption for those buildings that do not have solar photovoltaicsystem. For households that do have solar PV systems, it is gross PV production, sold and boughtelectricity (hourly based).The challenge in this study was developing a dynamic data driven model that could be applied toa large building dataset. Each building is located in a different climate zone, have a different size,number of inhabitants, and a different type of heating system. The buildings were thus analyzedaccording to the climate zone they were located in. The model gets building id from the userand locates other buildings that are situated in the same climate zone. It then develops energysignature for all these buildings and disintegrates the total consumption into base load, spaceheating load and intermittent load.The model evaluated 162 buildings, out of which 100 buildings had error in the data (all of theenergy consumption values were 0). The 62 buildings left were analyzed, and some buildingsshowed good results whereas some showed strange and absurd results. Overall, the model findsgood results for 45% of the buildings (28 out of 62) whereas the rest of the buildings (34 out of62) show bad results due to error in data such as missing hourly electricity consumption values,cooling load and the behavior of the power meter.The overall heat loss coefficient of the building is found by using regression analysis on thepower signature curve. The slope of the regression line gives the overall heat loss coefficient ofthe building which is a representation of the sum of transmission and ventilation losses and is animportant energy performance characteristic of a building. By comparing the value of heat losscoefficient obtained from the model to the theoretical value of heat loss coefficient calculated,we can see that when data quality is good the model calculates a good estimate of the heat losscoefficient.The results show that the data analysis and machine learning techniques can provide valuableinsights for the building stock. The thermal performance can be evaluated by developing modelssuch as energy signature to estimate overall heat loss factor which has big importance for theenergy performance. These insights can help to understand how the energy efficiency can beimproved in buildings. The overall heat loss factor can be used to find the U-value of the buildingwhich is also an important indicator of the thermal performance of the building.
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Wallace, Nathan Daniel. "Energy-aware Planning and Control of Off-road Wheeled Mobile Robots." Thesis, University of Sydney, 2020. https://hdl.handle.net/2123/23221.

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In modern agriculture, many of the tasks necessary for the smooth operation of a farm can be categorised as dull, dirty, or dangerous. This makes such operations a prime candidate for automation. However, most agricultural properties are vast, often encompassing large areas of undulating off-road terrain with varying traction conditions, making them difficult to traverse for wheeled platforms. Furthermore, the large scale of these properties necessitates careful consideration and management of resources---especially energy or fuel---in the planning of missions, to traverse these large distances and successfully achieve objectives without the risk of stranding the platform out in the field. These challenges need to be addressed before autonomous wheeled mobile robots are ready for deployment in agricultural contexts. This thesis seeks to address some of the key issues that impact the feasibility of deploying wheeled mobile robots in the field, focusing on off-road mobility and the generation of energy-efficient plans for these platforms. In the case of agricultural applications, where the robot may be required to operate near crops and livestock, accurate navigation is of utmost importance, and achieving this in the presence of difficult off-road conditions is a major challenge. The solution proposed in this work is an optimisation-based estimation and control strategy for accurate trajectory tracking in the presence of slip. A novel structured parameter blocking extension to this strategy is developed and tested, and shown to improve state estimation and path tracking performance for traversal over rapidly varying terrain conditions. To address the problem of efficiency, a data-driven energy cost of motion model for an omnidirectional wheeled mobile robot is then developed, and asymptotically optimal sampling-based planners exploiting this model, along with consideration of various terrain features and the configuration of the platform itself, are presented.
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Amado, Antonio R. "Capitalization of energy efficient features into home values in the Austin, Texas real estate market." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/39848.

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Thesis (M.C.P.)--Massachusetts Institute of Technology, Dept. of Urban Studies and Planning, 2007.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Includes bibliographical references (leaves 43-46).
Volatile and rising energy prices have made consumers aware of their opportunity costs for energy. Information on the cost-savings of energy efficient features in homes has not been well researched to date and is an option for consumers in the marketplace. The purpose of this thesis is to empirically investigate whether energy efficient features influence the sales price of Austin residential single-family homes. The data for this study comes from the Austin Board of Realtors multiple listing service database. The results should be applicable to other US cities with similar climate. This study examines over 800 single family residences in the Austin, Texas real estate market from 1998-2004. The dataset contains green and non-green rated homes as well as twelve energy features for homes. Log-Linear regression was used to explain the variation of sales price, while factor analysis was used to reduce the number of correlated energy variables into groups of factors. The results of the regression concluded that homes in the Austin metro area with efficient heating ventilation & air conditioning systems and controls sell for 4% more than homes without these features. Pricing of other related energy features commanded a price discount on the home.
(cont.) In conclusion, more efficient heating & ventilation features of new homes in Austin, Texas exert a positive influence on home prices. At least for this market, consumers appear to recognize and pay for this form of expected future energy savings. Key Words: Energy efficiency, energy policy, green homes, green rating, sustainability.
b y Antonio R. Amado.
M.C.P.
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Foss, A. D. "The need for, and state of, energy-efficient homes in the United States." Thesis, Stellenbosch : Stellenbosch University, 2006. http://hdl.handle.net/10019.1/21616.

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Assignment (MPhil)--University of Stellenbosch, 2006.
ENGLISH ABSTRACT: Although there are serious hurdles to overcome before green, energy-efficient homes become common; the technological and market-based foundations are already in place to support a shift in standard practice. Many organizations, from the federal government to local non-profits, are driving the transition to more efficient homebuilding practices through research, market-based competition, and tax incentives. However, many builders are resisting the transition, due to the fragmented nature of the building industry and a perceived lack of consumer demand. Because of the nature of the US economy, until American consumers understand green homes and demand builders to build them, green homebuilding will not reach its full potential. If building practices are left unchanged, inefficient homes will continue to cause dire consequences to the world because of their contribution to global climate change.
AFRIKAANSE OPSOMMING: Hoewel daar ernstige struikelblokke bestaan, wat oorkom moet word alvorens groen, energie-doelmatige wonings algemeen raak, is die tegnologiese en markgerigte grondslae reeds gelê om ’n verskuiwing in standaard-praktyk te onderskraag. Verskeie instansies – van die federale regering tot nie-winsgewende organisasies – verleen stukrag deur middel van navorsing, markgerigte mededinging en belastingaansporings aan die oorgang na meer doelmatige gebruike rondom praktyke ten opsigte van die konstruksie van huise. Weens die gefragmenteerde aard van die boubedryf en die waarneembare gebrek aan verbruikersaanvraag staan talle bouers egter die vermelde oorgang teen. Weens die aard van die VSA se ekonomie en totdat Amerikaanse verbruikers groen tuistes kan verkoop en by bouers aandring om hulle op te rig, sal groen woningkonstruksie nie sy volle potensiaal bereik nie. Indien boupraktyke onveranderd gelaat word, sal ondoelmatige wonings as gevolg van hulle bydrae tot globale klimaatsverandering steeds aaklige gevolge vir die wêreld tot gevolg hê.
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Books on the topic "Energy-efficient planning"

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J, Habermann Karl, ed. Energy-efficient architecture: Basics for planning and construction. Basel: Birkhäuser-Publishers for Architecture, 2006.

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Missoula Office of Community Development. Proposals for energy-efficient subdivision regulations. Helena, Mont: The Dept., 1985.

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author, Vallentin Rainer, ed. Passive house design: Planning and design of energy-efficient buildings. München: Redaktion Detail, Institut für internationale Architektur-Dokumentation, 2014.

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Bose, Ranjan K. Energy efficient cities: Assessment tools and benchmarking practices. Washington, D.C: World Bank, 2010.

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Urban Research Symposium (5th 2009 Marseille, France). Energy efficient cities: Assessment tools and benchmarking practices. Washington, D.C: World Bank, 2010.

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Urban Research Symposium (5th 2009 Marseille, France). Energy efficient cities: Assessment tools and benchmarking practices. Washington, D.C: World Bank, 2010.

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Freyther, Joanna. Planning for energy efficiency: The role of the planning system in the promotion of energy efficient, new building housing. Oxford: Oxford Brookes University, 2001.

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Dent, Stephen. Las Casas, a case study of energy-efficient Southwestern townhouses. Washington, DC: ACSA Press, 1990.

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Surgand, Marilyne. Local authorities and energy-efficiency: The effectiveness of the UK land-use planning system for delivering energy efficient housing. Oxford: Oxford Brookes University, 2001.

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Vine, Edward L. Planning for an energy-efficient future: The experience with implementing energy conservation programs for new residential and commercial buildings. Berkeley, CA: Lawrence Berkeley Laboratory, 1988.

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Book chapters on the topic "Energy-efficient planning"

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Guo, Y. B. "Operation Planning & Monitoring." In Energy Efficient Manufacturing, 11–32. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119519904.ch2.

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Yin, Ruixue, Fu Zhao, Fu Zhao, and John W. Sutherland. "Energy Efficient Manufacturing Process Planning." In Energy Efficient Manufacturing, 339–58. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119519904.ch12.

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Upton, Connor, Fergus Quilligan, Carlos García-Santiago, and Asier González-González. "Energy Efficient Production Planning." In IFIP Advances in Information and Communication Technology, 88–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40352-1_12.

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Gadgil, A. J. "Introducing Energy-Efficient Technologies in Developing Countries." In Integrated Electricity Resource Planning, 513–22. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-1054-9_29.

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Mills, Evan, and Mary Ann Piette. "Advanced Energy-Efficient Lighting Systems: Progress and Potential." In Integrated Electricity Resource Planning, 205–27. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-1054-9_13.

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Nørgård, J. S., and A. Gydesen. "Energy Efficient Domestic Appliances — Analyses and Field Tests." In Integrated Electricity Resource Planning, 245–60. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-1054-9_15.

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Qi, Yinan, Muhammad Ali Imran, and Rahim Tafazolli. "Energy-Efficient Mobile Network Design and Planning." In Green Communications, 97–118. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118759257.ch6.

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Tymkow, Paul, Savvas Tassou, Maria Kolokotroni, and Hussam Jouhara. "Space planning and design integration for services." In Building Services Design for Energy-Efficient Buildings, 333–61. Second edition. | New York : Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.1201/9781351261166-14.

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Almeida, Anibal T. "New Developments in Energy-Efficient Electric Motor Drive Systems." In Integrated Electricity Resource Planning, 189–204. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-1054-9_12.

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Calefati, Paolo, John Pandremenos, Apostolos Fysikopoulos, and George Chryssolouris. "Energy Efficient Process Planning System – The ENEPLAN Project." In IFIP Advances in Information and Communication Technology, 119–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40352-1_16.

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Conference papers on the topic "Energy-efficient planning"

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Legeny, Jan. "ENERGY EFFICIENT URBAN PLANNING." In 14th SGEM GeoConference on ENERGY AND CLEAN TECHNOLOGIES. Stef92 Technology, 2014. http://dx.doi.org/10.5593/sgem2014/b41/s17.024.

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Niharika, Sumit Verma, and Vivekananda Mukherjee. "Transmission expansion planning: A review." In 2016 International Conference on Energy Efficient Technologies for Sustainability (ICEETS). IEEE, 2016. http://dx.doi.org/10.1109/iceets.2016.7583779.

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Hosseini, Sara, and Ingo Hahn. "Energy-Efficient Motion Planning for Electrical Drives." In 2018 IEEE Electrical Power and Energy Conference (EPEC). IEEE, 2018. http://dx.doi.org/10.1109/epec.2018.8598341.

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Giuliano, Romeo, Franco Mazzenga, and Marco Petracca. "Energy efficient planning of cellular radio networks." In 2013 24th Tyrrhenian International Workshop on Digital Communications - Green ICT (TIWDC). IEEE, 2013. http://dx.doi.org/10.1109/tiwdc.2013.6664208.

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Lorenz, Michael, Jascha Paris, Frederic Schöler, Juan-Pablo Barreto, Tom Mannheim, Mathias Hüsing, and Burkhard Corves. "Energy-Efficient Trajectory Planning for Robot Manipulators." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-67198.

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Automated object manipulation is subject to various constraints, which can be affected by means of suitable motion strategies. With respect to an efficient motion design corresponding strategies are often referred to the manipulator’s energy consumption and performance considering its specified kinematic and dynamic characteristics. Supposing that various automated manufacturing processes use industrial robots and manipulators, an efficient motion design is able to reduce operating costs and CO2 emissions. This contribution is devoted to the simulation based energy optimization of robot motions, considering both the geometric path and the motion law of specific trajectories. In this context, two different levels of trajectory optimization are suggested, exposing the displacement of geometric nodes on the one hand and the variation of velocities and accelerations on the other hand. Due to its simple kinematic structure, the analyses exemplarily are focused on different trajectories of the manipulator Re-PlaLink, a five-bar linkage, which is capable of energy recuperation during regenerative mode. Accordingly, results show a significant energy reduction, establishing high potentials for an increased efficiency of industrial robots.
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Peltan, Tomas, Daniel Franke, Jakub Vorel, and Karel Maier. "Smart planning for transportation energy efficient region." In 2018 Smart City Symposium Prague (SCSP). IEEE, 2018. http://dx.doi.org/10.1109/scsp.2018.8402662.

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Boiardi, Silvia, Antonio Capone, and Brunilde Sanso. "Radio Planning of Energy-Efficient Cellular Networks." In 2012 21st International Conference on Computer Communications and Networks - ICCCN 2012. IEEE, 2012. http://dx.doi.org/10.1109/icccn.2012.6289315.

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Yongguo Mei, Yung-Hsiang Lu, Y. C. Hu, and C. S. G. Lee. "Energy-efficient motion planning for mobile robots." In IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004. IEEE, 2004. http://dx.doi.org/10.1109/robot.2004.1302401.

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Duleba, I., and J. Z. Sasiadek. "Energy-efficient Newton-based nonholonomic motion planning." In Proceedings of American Control Conference. IEEE, 2001. http://dx.doi.org/10.1109/acc.2001.946007.

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Petrenko, Vyacheslav, Fariza Tebueva, Vladimir Antonov, Nikolay Untewsky, and Mikhail Gurchinsky. "Energy-Efficient Path Planning: Designed Software Implementation." In Proceedings of the 21st International Workshop on Computer Science and Information Technologies (CSIT 2019). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/csit-19.2019.19.

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Reports on the topic "Energy-efficient planning"

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Chu, Dahtzen, Lynn Krajnovich, and Linda Lawrie. Improved Planning and Programming for Energy Efficient New Army Facilities. Fort Belvoir, VA: Defense Technical Information Center, October 1988. http://dx.doi.org/10.21236/ada202086.

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Vine, E., and J. Harris. Planning for an energy-efficient future: The experience with implementing energy conservation programs for new residential and commercial buildings: Volume 1. Office of Scientific and Technical Information (OSTI), September 1988. http://dx.doi.org/10.2172/6718280.

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Vine, E., and J. Harris. Planning for an energy-efficient future: The experience with implementing energy conservation programs for new residential and commercial buildings: Volume 2, Program descriptions. Office of Scientific and Technical Information (OSTI), September 1988. http://dx.doi.org/10.2172/6321558.

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Yue, Yunfeng. The Value of Unmanned Aerial Systems for Power Utilities in Developing Asia. Asian Development Bank, July 2021. http://dx.doi.org/10.22617/wps210213-2.

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Unmanned aerial systems (UAS) such as drones are increasingly being used to automate the planning, building, and maintenance of energy facilities around the world. The effectiveness of UAS and digital technologies are transforming energy sector operations to be faster, safer, and more cost-efficient. This working paper introduces UAS and discusses the latest technological developments as well as current applications. It also assesses the feasibility of UAS adoption in developing Asia’s power sector.
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