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Journal articles on the topic 'Energy System Optimisation Modelling'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Rasku, Topi, Toni Lastusilta, Ala Hasan, Rakesh Ramesh, and Juha Kiviluoma. "Economic Model-Predictive Control of Building Heating Systems Using Backbone Energy System Modelling Framework." Buildings 13, no. 12 (2023): 3089. http://dx.doi.org/10.3390/buildings13123089.

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Accessing the demand-side management potential of the residential heating sector requires sophisticated control capable of predicting buildings’ response to changes in heating and cooling power, e.g., model-predictive control. However, while studies exploring its impacts both for individual buildings as well as energy markets exist, building-level control in large-scale energy system models has not been properly examined. In this work, we demonstrate the feasibility of the open-source energy system modelling framework Backbone for simplified model-predictive control of buildings, helping addre

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2

Lund, Henrik, Finn Arler, Poul Østergaard, et al. "Simulation versus Optimisation: Theoretical Positions in Energy System Modelling." Energies 10, no. 7 (2017): 840. http://dx.doi.org/10.3390/en10070840.

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Ocłoń, Paweł, Maciej Ławryńczuk, and Marek Czamara. "A New Solar Assisted Heat Pump System with Underground Energy Storage: Modelling and Optimisation." Energies 14, no. 16 (2021): 5137. http://dx.doi.org/10.3390/en14165137.

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The objectives of this work are: (a) to present a new system for building heating which is based on underground energy storage, (b) to develop a mathematical model of the system, and (c) to optimise the energy performance of the system. The system includes Photovoltaic Thermal Hybrid Solar Panels (PVT) panels with cooling, an evacuated solar collector and a water-to-water heat pump. Additionally, storage tanks, placed underground, are used to store the waste heat from PVT panels cooling. The thermal energy produced by the solar collectors is used for both domestic hot water preparation and the

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4

Muller, Cornelius J., and Ian K. Craig. "Cooling Water System Modelling for Control and Energy Optimisation Purposes." IFAC Proceedings Volumes 47, no. 3 (2014): 3973–78. http://dx.doi.org/10.3182/20140824-6-za-1003.01030.

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Akparibo, Awingot Richard, and Erwin Normanyo. "Application of resistance energy model to optimising electric power consumption of a belt conveyor system." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 3 (2020): 2861. http://dx.doi.org/10.11591/ijece.v10i3.pp2861-2873.

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Driven by constantly increasing energy demands, prices, environmental impact caused by carbon dioxide emissions and global warming, efficient use of energy is gaining grounds in both public and private enterprises. The energy consumption of belt conveyors can be lowered using energy modelling techniques. In this research,  a resistance-based mathematical energy model was utilised in  the electrical energy efficiency optimisation of the troughed, inclined belt conveyor system taking into account indentation rolling resistance, bulk solid flexure resistance and secondary resistance a

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Awingot, Richard Akparibo, and Normanyo Erwin. "Application of resistance energy model to optimising electric power consumption of a belt conveyor system." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 3 (2020): 2861–73. https://doi.org/10.11591/ijece.v10i3.pp2861-2873.

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Driven by constantly increasing energy demands, prices, environmental impact caused by carbon dioxide emissions and global warming, efficient use of energy is gaining grounds in both public and private enterprises. The energy consumption of belt conveyors can be lowered using energy modelling techniques. In this research, a resistance-based mathematical energy model was utilised in the electrical energy efficiency optimisation of the troughed, inclined belt conveyor system taking into account indentation rolling resistance, bulk solid flexure resistance and secondary resistance as they togethe

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Eyere, Emagbetere and Idowu Temitope Adeleye. "Modelling and Optimisation of Levilised-Cost-of-Energy Optimisation for Plant Selection in an Off-Grid Hybrid Energy System." Journal of Energy Technology and Environment 6, no. 4 (2024): 81–92. https://doi.org/10.5281/zenodo.14525374.

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<em>This study aims to develop a selection tool that would optimise levelized-cost-of-energy (LCOE) for a hybrid energy generating and distribution systems using FUPRE as a case study. The research begins with a detailed LCOE modelling process, dissecting the cost components of the hybrid energy system. A sensitivity analysis is conducted to identify and assess the impact of various factors such as capital costs, operational expenses, and energy output on the LCOE. Optimum solutions for selecting a suitable plant for 9 different supply areas with various energy sources, including, diesel gener

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KALAY, Altan, Ali AĞÇAL, and Koray ULGEN. "YATAĞAN-MUĞLA TÜRKİYE’ DE KURULU OLAN 1 MW ŞEBEKE BAĞLANTILI BİR PV GÜÇ SANTRALİNDE MATLAB-SIMULINK PORTALINDA STATCOM YOLUYLA PERFORMANS İYİLEŞTİRİLMESİ." Mühendislik Bilimleri ve Tasarım Dergisi 11, no. 1 (2023): 113–25. http://dx.doi.org/10.21923/jesd.1168233.

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A grid-connected power system's performance depends on the produced energy's power quality and power coefficient. The higher the power quality of the energy transferred to the grid, the more critical it is for power plants, energy distribution systems and end-users. This study investigated the optimisation possibilities obtained by applying STATCOM (Static VAR Compensation) for a 1 MW PV-based Solar Power Plant (PV-SPP) in the Muğla-Türkiye province. First, the data of components such as the inverter and PV panel that make up the plant were obtained, and the raw MATLAB-Simulink modelling of th

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Fan, Yee Van, Zorka Novak Pintarič, and Jiří Jaromír Klemeš. "Emerging Tools for Energy System Design Increasing Economic and Environmental Sustainability." Energies 13, no. 16 (2020): 4062. http://dx.doi.org/10.3390/en13164062.

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Energy is a fundamental element supporting societal development, particularly with the increasing dependency on the Internet of Things. It is also the main contributor to environmental impacts and subsequently, a potential sector for mitigation. Sustainable energy system design considers energy savings and energy efficiency, waste and consumption reduction, process efficiency enhancement, waste heat recovery, and integration of renewable energy. Emerging tools range from advanced Process Integration, modelling, simulation, and optimisation, to system analysis and assessment. This review covers

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Christian, Ndayishimiye, Ling Lu, Chunyu Li, and Frenelus Wadslin. "Modelling and Optimisation Study of DIES Taking into Account IDR (Integrated Demand Response)." International Journal of Innovative Science and Research Technology 8, no. 1 (2023): 703–17. https://doi.org/10.5281/zenodo.7588032.

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- The work presented here collects and synthesises technical requirements, implementation and optimisation methods for modelling grid-level matrix models, with particular reference to renewable energy access and controllable loads. The work presents the controlled connected load modelling approach and places it in the same economic modelling and control framework as the interconnection planning measurement generation facility. The paper uses system parameters to test model performance. The test results are used to illustrate and validate the described approach. This work will improve energy ef

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Shen, Boyang, Mingshun Zhang, Xingming Bian, Xiaoyuan Chen, and Lin Fu. "Optimisation of Energy Efficiency: Dynamic Voltages in Superconducting Tapes to Energise Superconducting Power/Energy Applications." Electronics 11, no. 7 (2022): 1098. http://dx.doi.org/10.3390/electronics11071098.

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The evolution from low-temperature superconductors (LTSs) to high-temperature superconductors (HTSs) has created a great amount of opportunities for superconducting applications to be used in real life. Dynamic voltage is a special superconducting phenomenon, and it occurs when the superconductor takes a DC transport current while simultaneously exposed to an AC magnetic field. The dynamic voltage is crucial for some superconducting applications as it is the energy source by which to energise the load, such as flux pumps. This article investigates the missing aspects that previous studies have

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Sun, Wenyuan, Shuailing Ma, Yufei Zhang, Yingai Jin, and Firoz Alam. "Multi-Energy-Microgrid Energy Management Strategy Optimisation Using Deep Learning." Energies 18, no. 12 (2025): 3111. https://doi.org/10.3390/en18123111.

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Renewable power generation is unpredictable due to its intermittency, making grid-connected microgrids difficult to operate, control, and manage. Currently used prediction models for electricity, heat, gas, and hydrogen multi-energy complementary microgrids with the carbon trading mechanism are inefficient as they cannot account for all eventualities and are not well studied. Therefore, a two-stage robust optimisation model based on Bidirectional Temporal Convolutional Networks (BiTCN) and Transformer prediction for electricity, heat, gas, and hydrogen multi-energy complementary microgrids wit

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Matasova, I. Yu, Aleksey V. Masenko, David R. Grigoryan, Anna N. Tokareva, and Maria S. Demchenko. "Optimisation of anaerobic digestion of agricultural waste by simulation modelling." BIO Web of Conferences 161 (2025): 00013. https://doi.org/10.1051/bioconf/202516100013.

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The article deals with the problem of agricultural waste processing, focusing on anaerobic digestion for biogas and fertiliser production. The study is devoted to the optimisation of this process on the example of poultry manure, using a simulation-statistical approach. The developed model of the biotechnological system includes waste separation into fractions, pre-digestion, methane digestion and anaerobic filtration. Substrate loading dose and substrate moisture content were found to have the greatest influence on energy release. Experiments showed that an increase in loading dose leads to a

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Fei, Y., G. Lydyard, A. Mantopoulos, D. Marques, and M. Rondon. "The use of integrated production modelling to assess network efficiency and production system optimisation." APPEA Journal 59, no. 1 (2019): 211. http://dx.doi.org/10.1071/aj18267.

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This paper investigates the use of integrated production models to apply a consistent and repeatable approach to assess petroleum production network efficiency and aid production system optimisation. Assessing network efficiency in the manner detailed in this paper allows petroleum professionals to define a maximum network production through the analysis of the pressure drop within a network. This is achieved by comparing the system base production to a simulation of theoretical wellhead water separation (for all inflows), larger diameters of all surface pipelines (double the diameter is used

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15

Makkonen, Simo, and Risto Lahdelma. "Non-convex power plant modelling in energy optimisation." European Journal of Operational Research 171, no. 3 (2006): 1113–26. http://dx.doi.org/10.1016/j.ejor.2005.01.020.

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Okokpujie, Imhade P., Jude E. Sinebe, Emmanuel I. Ughapu, and Nathaniel I. Ogbodo. "Performance Analysis of the Impact of Mathematical Modelling and Optimisation on Power Generation Systems Via Renewable Sources." E3S Web of Conferences 430 (2023): 01209. http://dx.doi.org/10.1051/e3sconf/202343001209.

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A significant component of society’s sustainable development is producing energy from renewable sources. Various energy sources, including solar, biomass, biogas, and wind, must be utilised to their full potential to fulfil current demands. In most nations like Nigeria, there are a lot of rural areas that suffer from energy supply. This has brought up many studies on how optimisation techniques can help manage the sustainability of the supply of this generated energy to such areas. Therefore, this review paper focuses on the performance analysis of several studies on the impact of mathematical

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17

Usher, William, Trevor Barnes, Nandi Moksnes, and Taco Niet. "Global sensitivity analysis to enhance the transparency and rigour of energy system optimisation modelling." Open Research Europe 3 (February 13, 2023): 30. http://dx.doi.org/10.12688/openreseurope.15461.1.

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Background: Energy system optimisation models (ESOMs) are commonly used to support long-term planning at national, regional, or continental scales. The importance of recognising uncertainty in energy system modelling is regularly commented on but there is little practical guidance on how to best incorporate existing techniques, such as global sensitivity analysis, despite some good applications in the literature. Methods: In this paper, we provide comprehensive guidelines for conducting a global sensitivity analysis of an ESOM, aiming to remove barriers to adopting this approach. With a pedago

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Rečka, Lukáš, Milan Ščasný, and Dali Tsintskiladze Laxton. "The Role of Biomass in Decarbonisation Efforts: Spatially Enriched Energy System Optimisation Modelling." Energies 16, no. 21 (2023): 7380. http://dx.doi.org/10.3390/en16217380.

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Forests are a potentially carbon-negative energy source and function as carbon sinks. However, both of these functions have become threatened significantly by spruce bark beetle infestation in Czechia. This paper assesses how this ecological issue may affect the future energy mix, and in the process, affect carbon emission reduction targets and the available share of renewable energy sources (RESs). We assess several forest development scenarios with three policy incentives: subsidising wood pellet production, striving for climate neutrality, and adhering to ecological constraints. We build a

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19

Cannone, Carla, Lucy Allington, Nicki de Wet, et al. "clicSAND for OSeMOSYS: A User-Friendly Interface Using Open-Source Optimisation Software for Energy System Modelling Analysis." Energies 17, no. 16 (2024): 3923. http://dx.doi.org/10.3390/en17163923.

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Energy modelling plays a crucial role in assisting governmental and policymaking bodies to strategise long-term investments within the context of energy transition. Among the well-established open-source optimisation models, OSeMOSYS—the Open-Source Energy Modelling System—stands out. This paper introduces clicSAND, a novel user interface designed for OSeMOSYS, aimed at reducing the learning curve and supporting novice energy modelers in efficiently conducting long-term investment analyses. clicSAND, freely available and open-source, features a user-friendly Excel interface for data input, int

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Fleischer, Christian Etienne. "A data processing approach with built-in spatial resolution reduction methods to construct energy system models." Open Research Europe 1 (April 19, 2021): 36. http://dx.doi.org/10.12688/openreseurope.13420.1.

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Introduction: Data processing is a crucial step in energy system modelling which prepares input data from various sources into a format needed to formulate a model. Multiple open-source web-hosted databases offer pre-processed input data within the European context. However, the number of documented open-source data processing workflows that allow for the construction of energy system models with specified spatial resolution reduction methods is still limited. Methods: This paper presents a novel data processing approach to construct sector-coupled energy system models for European countries w

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21

Kołodziej, Dagmara, Patryk Bałazy, Paweł Knap, Krzysztof Lalik, and Damian Krawczykowski. "Energy Optimisation of Industrial Limestone Grinding Using ANN." Applied Sciences 15, no. 14 (2025): 7702. https://doi.org/10.3390/app15147702.

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This paper presents methods for modelling and optimising the industrial limestone grinding process carried out using a real limestone plant. Two key process evaluation indicators were developed: specific electric energy consumption and an extended indicator that also includes gas usage. Using process data collected from the SCADA system and results from industrial factorial experiments, regression artificial neural network models were developed, with controllable process parameters used as inputs. In the next phase, black-box optimisation was performed using Bayesian and genetic algorithms to

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Aliaga, D. M., C. P. Romero, R. Feick, W. K. Brooks, and A. N. Campbell. "Modelling, simulation, and optimisation of a novel liquid piston system for energy recovery." Applied Energy 357 (March 2024): 122506. http://dx.doi.org/10.1016/j.apenergy.2023.122506.

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Mende, Denis, and Lutz Hofmann. "Optimised Congestion Management Using Curative Measures in Combined AC/DC Systems with Flexible AC Transmission Systems." Energies 17, no. 9 (2024): 2157. http://dx.doi.org/10.3390/en17092157.

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Due to the increasing demand for transport of electrical energy, measures for power flow control, congestion management, and higher utilisation of the existing grid play a decisive role in the transformation of the power system. Hence, enormous efforts must be undertaken using measures of congestion management. Modelling and integration of corresponding measures in optimisation tools to support grid and system operation and therewith reduce the resulting efforts become more important. This is especially true because of the high intermittency and decentralisation of renewable generation leading

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Jun, Du, Li Ruonan, Wu Xin, and Zhao Hang. "Modelling and Optimisation of Vacuum Collection System for Cruise Ship Kitchen Garbage." Polish Maritime Research 27, no. 1 (2020): 152–61. http://dx.doi.org/10.2478/pomr-2020-0016.

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AbstractPollution of the marine environment by ship garbage is an urgent problem to be solved at home and abroad. The ship kitchen garbage vacuum collection system is a new environmental protection scheme for garbage disposal. It has many advantages, such as using a pipeline instead of manual operation, creating high-level sanitary conditions, realising completely closed garbage collection and transportation, eliminating cross-pollution, saving space and so on. In this paper, the system is modelled, and the calculation of pipeline pressure loss, the vacuum degree of the vacuum tank and the ene

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Boddu, Prashanthi, Liudong Xing, and Gregory Levitin. "Energy consumption modelling and optimisation in heterogeneous cold-standby systems." International Journal of Systems Science: Operations & Logistics 1, no. 3 (2014): 142–52. http://dx.doi.org/10.1080/23302674.2014.945980.

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Solano, Angela, Arash Behrang, Juan Montelongo, Raul Cota, Victor Manuel Rodriguez De Vecchis, and Valentina Gonzalez Perez. "LEVERAGING DIGITAL SOLUTIONS FOR NEW ENERGY SYSTEMS MODELLING AND OPTIMISATION." Proceedings on Engineering Sciences 7, no. 2 (2025): 955–62. https://doi.org/10.24874/pes07.02a.003.

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Theotokatos, Gerasimos, and Andrea Coraddu. "Selected Papers from the Second International Conference on Modelling and Optimisation of Ship Energy Systems (MOSES2019)." Journal of Marine Science and Engineering 8, no. 10 (2020): 779. http://dx.doi.org/10.3390/jmse8100779.

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Košnjek, Edvard, Boris Sučić, Mojca Loncnar, and Tom Smolej. "Energy Cost Centre-Based Modelling of Sector Coupling in Local Communities." Energies 18, no. 11 (2025): 2688. https://doi.org/10.3390/en18112688.

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This paper presents an analysis of energy use and sector coupling in a local energy community using a model based on energy cost centres (ECCs), functional units for decentralised responsibility and optimisation of energy use within defined system boundaries. The ECC model enables structured identification and optimisation of energy and material flows in complex industrial and urban settings. It was applied to a case study involving an energy-intensive steel plant and its integration with the surrounding community. The study assessed the potential for renewable electricity production (7914 MWh

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Coban, Hasan Huseyin, Wojciech Lewicki, and Agnieszka Brelik. "Modeling environmental and economic factors in regional energy optimization." Economics and Environment 89, no. 2 (2024): 748. http://dx.doi.org/10.34659/eis.2024.89.2.748.

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This article addresses the contemporary environmental challenges stemming from rapid economic growth, surging energy consumption, urban expansion, and mounting waste issues. The study explores the optimisation of a regional energy system, considering not only the electric energy sector but also the fuel and thermal energy sectors for the selected geographical destination. In this study, the application of the Linprog optimisation function in MATLAB programming tool to solve Regional Energy System Optimization with renewable resources is explained. The primary objective is to develop a mathemat

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Rossi, Mosè, Lingkang Jin, Andrea Monforti Ferrario, et al. "Energy Hub and Micro-Energy Hub Architecture in Integrated Local Energy Communities: Enabling Technologies and Energy Planning Tools." Energies 17, no. 19 (2024): 4813. http://dx.doi.org/10.3390/en17194813.

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The combination of different energy vectors like electrical energy, hydrogen, methane, and water is a crucial aspect to deal with in integrated local energy communities (ILECs). The ILEC stands for a set of active energy users that maximise benefits and minimise costs using optimisation procedures in producing and sharing energy. In particular, the proper management of different energy vectors is fundamental for achieving the best operating conditions of ILECs in terms of both energy and economic perspectives. To this end, different solutions have been developed, including advanced control and

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Rodríguez, M., and M. S. Diaz. "Dynamic modelling and optimisation of cryogenic systems." Applied Thermal Engineering 27, no. 7 (2007): 1182–90. http://dx.doi.org/10.1016/j.applthermaleng.2006.02.044.

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de Oliveira, Glauber Cardoso, Edoardo Bertone, and Rodney A. Stewart. "Optimisation modelling tools and solving techniques for integrated precinct-scale energy–water system planning." Applied Energy 318 (July 2022): 119190. http://dx.doi.org/10.1016/j.apenergy.2022.119190.

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33

Fleischer, Christian Etienne. "A data processing approach with built-in spatial resolution reduction methods to construct energy system models." Open Research Europe 1 (February 10, 2022): 36. http://dx.doi.org/10.12688/openreseurope.13420.2.

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Introduction: Data processing is a crucial step in energy system modelling which prepares input data from various sources into a format needed to formulate a model. Multiple open-source web-hosted databases offer pre-processed input data within the European context. However, the number of documented open-source data processing workflows that allow for the construction of energy system models with specified spatial resolution reduction methods is still limited. Methods: The first step of the data-processing method builds a dataset using web-hosted pre-processed data and open-source software. Th

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Serpi, Alessandro, and Mario Porru. "Modelling and Design of Real-Time Energy Management Systems for Fuel Cell/Battery Electric Vehicles." Energies 12, no. 22 (2019): 4260. http://dx.doi.org/10.3390/en12224260.

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Modelling and design of real-time energy management systems for optimising the operating costs of a fuel cell/battery electric vehicle are presented in this paper. The proposed energy management system consists of optimally sharing the propulsion power demand between the fuel cell and battery by enabling them to support each other for operating cost minimisation. The optimisation is achieved through real-time minimisation of a cost function, which accounts for fuel cell and battery degradation, hydrogen consumption and charge sustaining costs. A detailed analysis of each term of the overall co

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Hovgaard, Tobias Gybel, Lars F. S. Larsen, Morten J. Skovrup, and John Bagterp Jørgensen. "Optimal energy consumption in refrigeration systems - modelling and non-convex optimisation." Canadian Journal of Chemical Engineering 90, no. 6 (2012): 1426–33. http://dx.doi.org/10.1002/cjce.21672.

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Munsamy, Megashnee, and Arnesh Telukdarie. "Discrete event modelling for evaluation and optimisation of power utility energy demand." Journal of Industrial Engineering and Management 15, no. 1 (2022): 124. http://dx.doi.org/10.3926/jiem.3606.

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Purpose: Current global energy costs, complemented by energy generation environmental impacts highlights the importance of quantifying and optimising business energy utilisation. Determining business electrical energy usage inclusive of core operations and support activities in a singular evaluation protocol is a challenge. The challenge is exasperated by changes in business operation, where every change implies significant rework of the business energy determination. This study develops a holistic energy determination model for the entire business requiring minimum inputs for energy recalcula

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Ji, Jie, Zujun Ding, Xin Xia, et al. "System Design and Optimisation Study on a Novel CCHP System Integrated with a Hybrid Energy Storage System and an ORC." Complexity 2020 (September 26, 2020): 1–14. http://dx.doi.org/10.1155/2020/1278751.

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For achieving higher energy transferring efficiency from the resources to the load, the Combined Cooling, Heating, and Power (CCHP) systems have been widely researched and applied as an efficient approach. The key idea of this study is designing a novel structure of a hybrid CCHP system and evaluating its performance. In this research, there is a hybrid energy storage unit enhancing the whole system’s operation flexibility while supplying cooling, heating, and power. An ORC system is integrated into the CCHP system which takes responsibility of absorbing the low-temperature heat source for ele

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Ouyang, Zeyu, Theoklis Nikolaidis, and Soheil Jafari. "Integrated Power and Thermal Management Systems for Civil Aircraft: Review, Challenges, and Future Opportunities." Applied Sciences 14, no. 9 (2024): 3689. http://dx.doi.org/10.3390/app14093689.

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Projects related to green aviation designed to achieve fuel savings and emission reductions are increasingly being established in response to growing concerns over climate change. Within the aviation industry, there is a growing trend towards the electrification of aircraft, with more-electric aircraft (MEA) and all-electric aircraft (AEA) being proposed. However, increasing electrification causes challenges with conventional thermal management system (TMS) and power management system (PMS) designs in aircraft. As a result, the integrated power and thermal management system (IPTMS) has been de

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Al-Maliki, Wisam Abed Kattea, Falah Alobaid, Alexander Keil, and Bernd Epple. "Dynamic Process Simulation of a Molten-Salt Energy Storage System." Applied Sciences 11, no. 23 (2021): 11308. http://dx.doi.org/10.3390/app112311308.

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The main objective of this work was the construction of a numerical model using Advanced Process Simulation Software to represent the dynamic behaviour of a thermal storage system (TSS). The storage model was validated by comparing the results with the measured data of the storage process of the Andasol 2 solar power plant. Subsequently, a system analysis and system optimisation were carried out, and the stand-alone concept of the thermal storage system is presented. Stand-alone refers to an isolated use of the storage system without a solar power plant. During power peaks, this storage medium

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Balyk, Olexandr, James Glynn, Vahid Aryanpur, et al. "TIM: modelling pathways to meet Ireland's long-term energy system challenges with the TIMES-Ireland Model (v1.0)." Geoscientific Model Development 15, no. 12 (2022): 4991–5019. http://dx.doi.org/10.5194/gmd-15-4991-2022.

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Abstract. Ireland has significantly increased its climate mitigation ambition, with a recent government commitment to reduce greenhouse gases by an average of 7 % yr−1 in the period to 2030 and a net-zero target for 2050, underpinned by a series of 5-year carbon budgets. Energy systems optimisation modelling (ESOM) is a widely used tool to inform pathways to address long-term energy challenges. This article describes a new ESOM developed to inform Ireland's energy system decarbonisation challenge. The TIMES-Ireland Model (TIM) is an optimisation model of the Irish energy system, which calculat

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Kee, Zebedee, Ye Wang, John Pye, and Alireza Rahbari. "Small-scale concentrated solar power system with thermal energy storage: System-level modelling and techno-economic optimisation." Energy Conversion and Management 294 (October 2023): 117551. http://dx.doi.org/10.1016/j.enconman.2023.117551.

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Marechal, F., F. Palazzi, J. Godat, and D. Favrat. "Thermo-Economic Modelling and Optimisation of Fuel Cell Systems." Fuel Cells 5, no. 1 (2005): 5–24. http://dx.doi.org/10.1002/fuce.200400055.

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Pavón, Rubén Muñoz, Ángela Moreno Bazán, Jorge Jerez Cepa, et al. "New Use of BIM-Origami-Based Techniques for Energy Optimisation of Buildings." Applied Sciences 12, no. 3 (2022): 1496. http://dx.doi.org/10.3390/app12031496.

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Outstanding properties and advanced functionalities of thermal–regulatory by origami-based architecture materials have been shown at various scales. However, in order to model and manage its programmable mechanical properties by Building Information Modelling (BIM) for use in a covering structure is not a simple task. The aim of this study was to model an element that forms a dynamic shell that prevents or allows the perpendicular incidence of the sun into the infrastructure. Parametric modelling of such complex structures was performed by Grasshopper and Rhinoceros 3D and were rendered by usi

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Kavadias, K. A., D. Apostolou, and J. K. Kaldellis. "Modelling and optimisation of a hydrogen-based energy storage system in an autonomous electrical network." Applied Energy 227 (October 2018): 574–86. http://dx.doi.org/10.1016/j.apenergy.2017.08.050.

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Cuce, Pinar Mert, Erdem Cuce, and Saffa Riffat. "Contemporary Evaporative Cooling System with Indirect Interaction in Construction Implementations: A Theoretical Exploration." Buildings 14, no. 4 (2024): 994. http://dx.doi.org/10.3390/buildings14040994.

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The construction sector, including in developed countries, plays a notable part in the overall energy consumption worldwide, being responsible for 40% of it. In addition to this, heating, ventilating and air-conditioning (HVAC) systems constitute the largest share in this sector, accounting for 40% of energy usage in construction and 16% globally. To address this, stringent rules and performance measures are essential to reduce energy consumption. This study focuses on mathematical optimisation modelling to enhance the performance of indirect-contact evaporative cooling systems (ICESs), a topi

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Mohd Khairil Hing, Azleen Azna, and Fadzrul Izwan Muhd Ali. "REALISING OPTIMAL ENERGY CONSUMPTION VIA ENHANCED iCON® UTILITY OPTIMISER (iUO 2.0)." Platform : A Journal of Science and Technology 4, no. 1 (2021): 52. http://dx.doi.org/10.61762/pjstvol4iss1art13545.

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iCON® utility optimiser (iUO) was first introduced in PETRONAS in 2010, and it has been extensively utilised in energy review studies across PETRONAS’ downstream processing plants. The tool is the first in PETRONAS to use the first principal steady-state simulation with customised unit operations to perform mass and energy balance of a steam plant. An enhanced version of the optimiser, iUO 2.0, was released in 2019, offering much-improved robustness, accuracy, and flexibility. The software enhancements focused on three objectives: increased robustness, improved accuracy, and enhanced applicati

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Reynolds, Jonathan, Muhammad Waseem Ahmad, and Yacine Rezgui. "Holistic modelling techniques for the operational optimisation of multi-vector energy systems." Energy and Buildings 169 (June 2018): 397–416. http://dx.doi.org/10.1016/j.enbuild.2018.03.065.

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Tulloch, Oliver, Hong Yue, Abbas Mehrad Kazemi Amiri, and and Roderick Read. "A Tensile Rotary Airborne Wind Energy System—Modelling, Analysis and Improved Design." Energies 16, no. 6 (2023): 2610. http://dx.doi.org/10.3390/en16062610.

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A unique rotary kite turbine designed with tensile rotary power transmission (TRPT) is introduced in this work. Power extraction, power transmission and the ground station are modelled in a modular framework. The TRPT system is the key component of power transmission, for which three models with different levels of complexity are proposed. The first representation is based on the stationary state of the system, in which the external and internal torques of a TRPT section are in equilibrium, referred to as the steady-state TRPT model. The second representation is a simplified spring-disc model

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Fan, Fulin, John Nwobu, and David Campos-Gaona. "The Co-development of Offshore Wind and Hydrogen in the UK – A Case Study of Milford Haven South Wales." Journal of Physics: Conference Series 2507, no. 1 (2023): 012011. http://dx.doi.org/10.1088/1742-6596/2507/1/012011.

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Abstract Green hydrogen produced from renewable energy resources can not only contribute to the decarbonisation of different energy sectors, but also serve as a carrier for long-distance delivery of renewable generation, offering a cost-effective way to exploit the renewables far from electrical grids. To facilitate the co-development of offshore wind and hydrogen, the paper develops a modelling framework to dispatch power and hydrogen flows across dedicated offshore wind hydrogen production systems to meet onshore hydrogen demands while keeping similar state of charge levels between multiple

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Pusnik, Matevz, Boris Sucic, Andreja Urbancic, and Stane Merse. "Role of the national energy system modelling in the process of the policy development." Thermal Science 16, no. 3 (2012): 703–15. http://dx.doi.org/10.2298/tsci120109120p.

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Strategic planning and decision making, nonetheless making energy policies and strategies, is very extensive process and has to follow multiple and often contradictory objectives. During the preparation of the new Slovenian Energy Programme proposal, complete update of the technology and sector oriented bottom up model of Reference Energy and Environmental System of Slovenia (REES-SLO) has been done. During the redevelopment of the REES-SLO model trade-off between the simulation and optimisation approach has been done, favouring presentation of relations between controls and their effects rath

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