Gotowe bibliografie tematyczne / Residential water demand

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  1. Artykuły w czasopismach
  2. Rozprawy doktorskie
  3. Książki
  4. Części książek
  5. Streszczenia konferencji
  6. Raporty organizacyjne

Gotowa bibliografia na temat „Residential water demand”

Autor: Grafiati
Data publikacji: 4 czerwca 2021
Data aktualizacji: 20 lutego 2023

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Artykuły w czasopismach na temat "Residential water demand"

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Tricarico, C., G. de Marinis, R. Gargano, and A. Leopardi. "Peak residential water demand." Proceedings of the Institution of Civil Engineers - Water Management 160, no. 2 (June 2007): 115–21. http://dx.doi.org/10.1680/wama.2007.160.2.115.

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Bao, Keyu, Rushikesh Padsala, Daniela Thrän, and Bastian Schröter. "Urban Water Demand Simulation in Residential and Non-Residential Buildings Based on a CityGML Data Model." ISPRS International Journal of Geo-Information 9, no. 11 (October 28, 2020): 642. http://dx.doi.org/10.3390/ijgi9110642.

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Humans’ activities in urban areas put a strain on local water resources. This paper introduces a method to accurately simulate the stress urban water demand in Germany puts on local resources on a single-building level, and scalable to regional levels without loss of detail. The method integrates building geometry, building physics, census, socio-economy and meteorological information to provide a general approach to assessing water demands that also overcome obstacles on data aggregation and processing imposed by data privacy guidelines. Three German counties were used as validation cases to
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Palencia, Lamberto C. "RESIDENTIAL WATER DEMAND IN METRO MANILA." Journal of the American Water Resources Association 24, no. 2 (April 1988): 275–79. http://dx.doi.org/10.1111/j.1752-1688.1988.tb02984.x.

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Lopez-Mayan, Cristina. "Microeconometric Analysis of Residential Water Demand." Environmental and Resource Economics 59, no. 1 (September 5, 2013): 137–66. http://dx.doi.org/10.1007/s10640-013-9721-4.

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Gato, Shirley, Niranjali Jayasuriya, and Peter Roberts. "Forecasting Residential Water Demand: Case Study." Journal of Water Resources Planning and Management 133, no. 4 (July 2007): 309–19. http://dx.doi.org/10.1061/(asce)0733-9496(2007)133:4(309).

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Hung, Ming-Feng, Bin-Tzong Chie, and Tai-Hsin Huang. "Residential water demand and water waste in Taiwan." Environmental Economics and Policy Studies 19, no. 2 (April 13, 2016): 249–68. http://dx.doi.org/10.1007/s10018-016-0154-5.

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Metaxas, S., and E. Charalambous. "Residential price elasticity of demand for water." Water Supply 5, no. 6 (December 1, 2005): 183–88. http://dx.doi.org/10.2166/ws.2005.0063.

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This paper presents an analysis on price elasticity of demand for water as a consequence of price increases. The objective of this research study is to estimate the residential price elasticities of demand for water for different regions, which may have different income levels. The general conclusion is that price elasticity for residential water use is inelastic (i.e. a given percentage of price increase results in a proportionally smaller decrease in quantity demanded) and it varies by consumer class and type of water use. The elasticity is not significantly affected by demographic and other
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Lyman, R. Ashley. "Peak and off-peak residential water demand." Water Resources Research 28, no. 9 (September 1992): 2159–67. http://dx.doi.org/10.1029/92wr01082.

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Schleich, Joachim, and Thomas Hillenbrand. "Determinants of residential water demand in Germany." Ecological Economics 68, no. 6 (April 2009): 1756–69. http://dx.doi.org/10.1016/j.ecolecon.2008.11.012.

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Gargano, Rudy, Carla Tricarico, Giuseppe del Giudice, and Francesco Granata. "A stochastic model for daily residential water demand." Water Supply 16, no. 6 (June 20, 2016): 1753–67. http://dx.doi.org/10.2166/ws.2016.102.

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Residential water demand is a random variable which influences greatly the performance of municipal water distribution systems (WDSs). The water request at network nodes reflects the behavior of the residential users, and a proper characterization of their water use habits is vital for the hydraulic system modeling. This study presents a stochastic approach for the characterization of the daily residential water use. The proposed methodology considers a unique probabilistic distribution – mixed distribution – for any time during the day, and thus for any entity of the water demanded by the use
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Rozprawy doktorskie na temat "Residential water demand"

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Gato, Shirley, and s3024038@rmit edu au. "Forecasting Urban Residential Water Demand." RMIT University. Civil, Environmental and Chemical Engineering, 2006. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20070202.113452.

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The city of Melbourne in Victoria, Australia has been recognised as having high quality drinking water, but like other urban cities in the world, its growing population means increasing water demand. Melbourne is also already on its eight year of dry climatic conditions and is currently experiencing a drought that forced water authorities to impose water restrictions after 20 years of unrestricted supply. The current drought, dwindling supplies and possible impact of climate change highlight the importance of making better use of this precious resource. The Water Resources Strate
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Dzisiak, Richard N. "The role of price in determining residential water demand, water pricing and residential water demand in municipalities in the Western Prairies." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0005/MQ41695.pdf.

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Gardner, Kerry. "Residential water demand modelling and behavioural economics." Thesis, University of East Anglia, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.539372.

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Water supply-demand balances are becoming increasingly constrained around the world and in the United Kingdom. Although there has been a policy shift toward demand management policies to address this, demand modefling evidence is limited. This thesis makes qualitative, quantitative and behavioural contributions to this area. Qualitative and quantitative (meta-analytic) literature reviews are conducted. These indicate elasticity estimates are sensitive to methodological choices. Empiricafly it is identified that summer and long-run demand are more price and income responsive than their respecti
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Du, Plessis Jacobus Lodewikus. "Estimating domestic outdoor water demand for residential estates." Thesis, Stellenbosch : Stellenbosch University, 2014. http://hdl.handle.net/10019.1/86695.

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Thesis (MEng)--Stellenbosch University, 2014.<br>ENGLISH ABSTRACT: The outdoor water consumption of residential properties is a major contributor to the seasonal fluctuation of the overall water consumption of these properties. The estimation of the relating outdoor water demand has become valuable to property developers and planners alike. This could enable designers to optimise designs of water distribution networks and assist in water resource planning and gaining legislative approvals. For the purposes of this study the outdoor water-use components were mathematically defined and combined
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Regli, Philip Warner. "Residential demand for water in the Phoenix metropolitan area." Thesis, The University of Arizona, 1985. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu_e9791_1985_160_sip1_w.pdf&type=application/pdf.

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Boyce, Daniel J. B. "Micro-component water demand scenario modelling for catchment scale residential water use." Thesis, Cranfield University, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.443748.

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AndrÃ, Diego de Maria. "Space and economic determinants of demand for residential water in fortaleza, cearÃ." Universidade Federal do CearÃ, 2012. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=7425.

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nÃo hÃ<br>This paper aims to estimate a residential water demand function for the city of Fortaleza (CearÃ), considering the potential impact of the spatial effects on water consumption. The analysis is developed from the investigation of presence of spatial autocorrelation in residential water consumption. For this, the tools of exploratory spatial data analysis (ESDA) were utilized. Subsequently, specific tests are performed to determine the sources of spatial autocorrelation, i.e., if the autocorrelation is caused by the spatial distribution of water consumption or by effects not modeled. I
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Urban, Graeme John. "Probabalistic load modelling of electrical demand of residential water heating." Thesis, Stellenbosch : Stellenbosch University, 2012. http://hdl.handle.net/10019.1/20071.

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Thesis (MScEng)--Stellenbosch University, 2012.<br>ENGLISH ABSTRACT: Energy efficiency and the move to renewable energy resources are of vital importance in growing profitable and sustainable economies. In recent years, greater emphasis has been placed on institutions, companies and individuals to reduce their electrical energy demand through energy management. In an attempt to reduce the demand, the electrical power utility in South Africa, Eskom, has introduced Demand Side Management programs and substantial increases in electricity tariffs. In addition to these, tax incentives have be
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Sawangchareon, Dumrongchai. "The Analysis of the Demand for Residential Water in the City of Denton." Thesis, North Texas State University, 1986. https://digital.library.unt.edu/ark:/67531/metadc500727/.

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The main objective of this study is to analyze the demand for water in Denton. The data used for the study are obtained from the City of Denton Utilities Department, the Tax Appraisal District and government documents. The 121 households which have perfect ten years historical data of water consumption were selected to be the representatives of all households in Denton. The study reveals that the change in water consumption significantly relates to the change in marginal price. Furthermore, the weather variables also have strong effects on the water consumption, especially during summer. The c
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Sadek, Eran Sadek Said Md. "Modellng residential water demand in Leeds using microsimulation incorporating behavioural data." Thesis, University of Leeds, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.581978.

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With an increasing world population and changing lifestyles, there is a relentless demand for water including for domestic water supplies. In order to manage water demand better, the amount of water used for domestic purposes must be estimated. A number of methods exist such as the micro-components method, which is recommended by the UK Environment Agency. Microsimulation of synthetic households is also used for demand estimation, which is an area of research that has a tradition in the School of Geography, University of Leeds. This research project follows in this tradition but extends the wo
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Książki na temat "Residential water demand"

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Walters, Laurie L. Economic factors affecting residential water demand in Colorado. Fort Collins, Colo: Colorado Water Resources Research Institute, Colorado State University, 1994.

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Munian, A. Dynamics of residential water demand and supply in India: A case study of Chennai City. New Delhi: Gyan Pub. House, 2010.

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Dale, Larry L. Price impact on the demand for water and energy in California residences: Final paper. Sacramento, Calif.]: California Energy Commission, 2009.

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Grima, Angelo P. Residential Water Demand: Alternative Choices for Management. University of Toronto Press, 2019.

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McDonald, A. D. Residential Water Demand: A Case Study in the Lower Hunter Valley (Agricultural Economics Bulletin). University of New England, 1995.

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Części książek na temat "Residential water demand"

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Koundouri, P., M. Stithou, and P. Melissourgos. "Simulating Residential Water Demand and Water Pricing Issues." In Water Resources Management Sustaining Socio-Economic Welfare, 71–86. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-7636-4_4.

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Di Mauro, A., G. F. Santonastaso, S. Venticinque, and A. Di Nardo. "Open Datasets and IoT Sensors for Residential Water Demand Monitoring at the End-Use Level: A Pilot Study Site in Naples (Italy)." In Springer Water, 47–76. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95844-2_4.

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Garcia-Valiñas, Maria A., Roberto Martínez-Espiñeira, and Hang To. "The Use of Non-pricing Instruments to Manage Residential Water Demand: What Have We Learned?" In Understanding and Managing Urban Water in Transition, 269–81. Dordrecht: Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-9801-3_12.

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Vongtanaboon, Sukanya. "Water Resource Assessment and Management in Phuket, Thailand." In Interlocal Adaptations to Climate Change in East and Southeast Asia, 153–56. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-81207-2_17.

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AbstractWithin the context of climate change, the province of Phuket in Thailand is the only province in Thailand without any large rivers, which means that it is potentially at risk from problems associated with water scarcity in the future. Phuket Island is also the largest island in Thailand with an area of 543 km2 comprised of three districts (Thalang, Muang and Kathu); 77% of the island is mountainous and 23% consists of plains, primarily in the central and eastern regions. Most water is derived from rainfall, which is stored in reservoirs, mine shafts, and groundwater sources. Due to geography, Phuket is a popular tourist destination. Rates of development in the hotel industry and residential areas, as well as the population, have been rapid in recent decades. However, these developments have severely degraded watershed areas. Economic growth and increases in the number of tourists has resulted in an increase in demand for water, and in the year 2020 consumption exceeded 100,000 m3/day (Provincial Waterworks Authority 2020). Moreover, trends of water use in Phuket are expected to increase by 12% annually, and it is forecasted that the water demand for local consumption and tourism will rise to 103.07 million m3/year in 2032 (Patong Municipality 2020). As the water supply in the three major reservoirs (Bang Wad, Bang Niew Dam and Klong Katha) are limited due to long periods of a dry weather (Provincial Waterworks Authority 2020), there are problems of water scarcity in Phuket and other areas with public water systems in the province. The droughts in 2002 and 2019–2020 caused severe water scarcity in Phuket, and this has become an important issue that the province needs to address.
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Renzetti, Steven. "Residential Water Demands." In The Economics of Water Demands, 17–34. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0865-6_3.

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Klassert, Christian, Erik Gawel, Katja Sigel, and Bernd Klauer. "Sustainable Transformation of Urban Water Infrastructure in Amman, Jordan – Meeting Residential Water Demand in the Face of Deficient Public Supply and Alternative Private Water Markets." In Future City, 93–115. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59324-1_6.

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Tsimpo, Clarence, and Quentin Wodon. "Demand and Supply Constraints to Piped Water Coverage." In Residential Piped Water in Uganda, 27–46. The World Bank, 2018. http://dx.doi.org/10.1596/978-1-4648-0708-4_ch3.

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Ward, Michael, and Chris White. "Managing residential water demand in the OECD." In Global Water: Issues and Insights. ANU Press, 2014. http://dx.doi.org/10.22459/gw.05.2014.03.

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Renwick, Mary E., and Sandra O. Archibald. "Demand Side Management Policies for Residential Water Use: Who Bears the Conservation Burden?" In Economics of Water Resources, 373–89. Routledge, 2018. http://dx.doi.org/10.4324/9781351159289-24.

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Nieswiadomy, Michael L., and David J. Molina. "Comparing Residential Water Demand Estimates under Decreasing and Increasing Block Rates Using Household Data." In Economics of Water Resources, 363–72. Routledge, 2018. http://dx.doi.org/10.4324/9781351159289-23.

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Streszczenia konferencji na temat "Residential water demand"

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Gato-Trinidad, S., and K. Gan. "Characterizing maximum residential water demand." In Urban Water 2012. Southampton, UK: WIT Press, 2012. http://dx.doi.org/10.2495/uw120021.

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Alcocer, Y. V. H., V. G. Tzatchkov, S. G. Buchberger, F. I. Arreguin, and D. Feliciano. "Stochastic Residential Water Demand Characterization." In World Water and Environmental Resources Congress 2004. Reston, VA: American Society of Civil Engineers, 2004. http://dx.doi.org/10.1061/40737(2004)459.

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Gargano, R., C. Tricarico, and G. de Marinis. "Residential Water Demand-Daily Trends." In 12th Annual Conference on Water Distribution Systems Analysis (WDSA). Reston, VA: American Society of Civil Engineers, 2011. http://dx.doi.org/10.1061/41203(425)118.

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Tanverakul, Stephanie A., and Juneseok Lee. "Historical Review of U.S. Residential Water Demand." In World Environmental And Water Resources Congress 2012. Reston, VA: American Society of Civil Engineers, 2012. http://dx.doi.org/10.1061/9780784412312.313.

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Pieterse-Quirijns, E. J., E. J. M. Blokker, J. H. G. Vreeburg, and E. v.d. Blom. "Modelling Characteristic Values for Non-Residential Water Demand." In 12th Annual Conference on Water Distribution Systems Analysis (WDSA). Reston, VA: American Society of Civil Engineers, 2011. http://dx.doi.org/10.1061/41203(425)111.

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Tanverakul, Stephanie A., and Juneseok Lee. "Residential Water Demand Analysis Due to Water Meter Installation in California." In World Environmental and Water Resources Congress 2013. Reston, VA: American Society of Civil Engineers, 2013. http://dx.doi.org/10.1061/9780784412947.090.

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Blokker, E. J. M., and J. H. G. Vreeburg. "Monte Carlo Simulation of Residential Water Demand: A Stochastic End-Use Model." In World Water and Environmental Resources Congress 2005. Reston, VA: American Society of Civil Engineers, 2005. http://dx.doi.org/10.1061/40792(173)34.

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Filion, Y. R., Z. Li, and S. G. Buchberger. "Temporal and Spatial Scaling of Instantaneous Residential Water Demand for Network Analysis." In World Environmental and Water Resources Congress 2007. Reston, VA: American Society of Civil Engineers, 2007. http://dx.doi.org/10.1061/40927(243)512.

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Filion, Y. R., B. W. Karney, L. Moughton, S. G. Buchberger, and B. J. Adams. "Cross Correlation Analysis of Residential Demand in the City of Milford, Ohio." In Eighth Annual Water Distribution Systems Analysis Symposium (WDSA). Reston, VA: American Society of Civil Engineers, 2008. http://dx.doi.org/10.1061/40941(247)43.

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Yanhui, Dong, and Zhou Weibo. "Urban Residential Water Demand Forecasting in Xi'an Based on RBF Model." In 2009 International Conference on Energy and Environment Technology. IEEE, 2009. http://dx.doi.org/10.1109/iceet.2009.456.

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Raporty organizacyjne na temat "Residential water demand"

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Klaiber, H. Allen, V. Kerry Smith, Michael Kaminsky, and Aaron Strong. Measuring Price Elasticities for Residential Water Demand with Limited Information. Cambridge, MA: National Bureau of Economic Research, August 2012. http://dx.doi.org/10.3386/w18293.

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Frandsen, Martin, Jakob Vind Madsen, Rasmus Lund Jensen, and Michal Zbigniew Pomianowski. Domestic water measurement in two Danish office and educational buildings - Data set description. Aalborg University, August 2022. http://dx.doi.org/10.54337/aau481810642.

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Measurement data of domestic water in non-residential buildings is sparse. More data is needed to describe the non-residential buildings’ domestic hot water (DHW) demand and to be able to design more efficient DHW systems. This DCE Technical Report aims to present and describe the data set: “Data set - Domestic water at CREATE and TMV23”. This data set contains measurement data from two office and educational buildings in Aalborg, Denmark. The measurements in the building CREATE are conducted from October 2018 to January 2019 and in the building TMV23 from April 2021 to May 2021. The data set
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Ally, M. R. Water and Energy Savings using Demand Hot Water Recirculating Systems in Residential Homes: A Case Study of Five Homes in Palo Alto, California. Office of Scientific and Technical Information (OSTI), November 2002. http://dx.doi.org/10.2172/885864.

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