Reviewing EnergyPLAN simulations and performance indicator applications in EnergyPLAN simulations

被引:204
作者
Ostergaard, Poul Alberg [1 ]
机构
[1] Aalborg Univ, Vestre Havnepromenade 9, DK-9000 Aalborg, Denmark
关键词
Energy system simulation; EnergyPLAN simulation review; Simple optimisation criteria; Advanced optimisation criteria; 100-PERCENT RENEWABLE ENERGY; LARGE-SCALE INTEGRATION; WIND POWER INTEGRATION; SUSTAINABLE ENERGY; HIGH PENETRATION; SYSTEM-ANALYSIS; ELECTRIC VEHICLES; HEAT-RECOVERY; OPERATION STRATEGIES; NATURAL-GAS;
D O I
10.1016/j.apenergy.2015.05.086
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Energy systems with high degrees of renewable energy integration require on the one hand energy scenario making and energy system analyses for the optimal design of systems and pathways and on the other hand well-established criteria for decision-making and for characterisation of energy system suitability. This article has a threefold objective, it reviews the application of a given energy system simulation model - EnergyPLAN - analysing its application on geographic level as well as the types of simulations or scenario analyses performed on the model. Secondly, it reviews the types of performance indicators applied in said energy systems simulations and thirdly it reviews and details existing advanced energy system performance indicators and proposed additional indicators. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:921 / 933
页数:13
相关论文
共 216 条
[1]   A closed-loop energy price controlling method for real-time energy balancing in a smart grid energy market [J].
Alagoz, B. Baykant ;
Kaygusuz, Asim ;
Akcin, Murat ;
Alagoz, Serkan .
ENERGY, 2013, 59 :95-104
[2]   Design of hybrid power generation systems based on multi criteria decision analysis [J].
Alsayed, M. ;
Cacciato, M. ;
Scarcella, G. ;
Scelba, G. .
SOLAR ENERGY, 2014, 105 :548-560
[3]   Electricity decarbonisation pathways for 2050 in Portugal: A TIMES (The Integrated MARKAL-EFOM System) based approach in closed versus open systems modelling [J].
Amorim, Filipa ;
Pina, Andre ;
Gerbelova, Hana ;
da Silva, Patricia Pereira ;
Vasconcelos, Jorge ;
Martins, Victor .
ENERGY, 2014, 69 :104-112
[4]   Long-term forecasting of hourly electricity load: Identification of consumption profiles and segmentation of customers [J].
Andersen, F. M. ;
Larsen, H. V. ;
Boomsma, T. K. .
ENERGY CONVERSION AND MANAGEMENT, 2013, 68 :244-252
[5]  
Andresen GB, 2014, ENERGY
[6]  
[Anonymous], 1977, SURVIVAL, V19, P287
[7]  
[Anonymous], ENERGY
[8]  
[Anonymous], 2004, ENERGYPLAN COMPUTER
[9]  
[Anonymous], 2014, ENERGYPLAN ADV ENERG
[10]   Producing, storing, using and selling renewable energy: The best mix for the small medium industry [J].
Arigliano, Anna ;
Caricato, Pierpaolo ;
Grieco, Antonio ;
Guerriero, Emanuela .
COMPUTERS IN INDUSTRY, 2014, 65 (03) :408-418