Methods and tools for community energy planning: A review

被引:135
作者
Huang, Zishuo [1 ]
Yu, Hang [1 ,2 ]
Peng, Zhenwei [2 ,3 ]
Zhao, Mei [1 ]
机构
[1] Tongji Univ, Sch Mech Engn, Shanghai 201804, Peoples R China
[2] China Intelligent Urbanizat Cocreat Ctr High Dens, Shanghai 200092, Peoples R China
[3] Tongji Univ, Coll Architecture & Urban Planning, Shanghai 200092, Peoples R China
关键词
Community energy planning; Tools; Model Urban planning system; Energy-related indicators; SUSTAINABLE ENERGY; GENETIC ALGORITHM; CARBON INTENSITY; SYSTEM; MODEL; OPTIMIZATION; DEMAND; TECHNOLOGIES; CONSUMPTION; GENERATION;
D O I
10.1016/j.rser.2014.11.042
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
High consumption of fossil fuels in urban area leads to environmental pollution and energy shortages, which threaten to reverse human progress. Community energy system planning makes great contributions to reducing fossil energy consumption. This paper focused on the Community Energy Planning (CEP) method at the Community Master Plan (CMP), Community Regulatory Plan (CRP), Community Site Plan (CSP) and Architectural Design (AD) stages. Top-down and bottom-up models for CEP at different stages of community construction were introduced. The present situation and development of research on energy demand forecasting, renewable energy resource assessments and whole community energy system optimization, which are three highly important components of bottom-up models, were introduced. After surveying the methods and tools that have contributed to CEP, the framework of computer tools for community energy system simulation and design was outlined. The functions (particularly focused on the existence of the functions of energy demand prediction, renewable energy resource assessment and whole community energy system optimization) and characteristics of these computer tools for community energy system design (CESD) were listed and compared. One of the current challenges is predicting community energy demand. There is still a shortage of available tools for determining energy-related indictors at the CRP stage. A built Community Energy Consumption data Monitoring and Statistic System (CECMSS) may help to predict a community's secondary energy demand. Ultimately, a framework for a new community energy analysis model that determines energy-related indicators was introduced. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1335 / 1348
页数:14
相关论文
共 106 条
[1]   Electric load forecasting: literature survey and classification of methods [J].
Alfares, HK ;
Nazeeruddin, M .
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2002, 33 (01) :23-34
[2]   A cooling change-point model of community-aggregate electrical load [J].
Ali, Muhammad Tauha ;
Mokhtar, Marwan ;
Chiesa, Matteo ;
Armstrong, Peter .
ENERGY AND BUILDINGS, 2011, 43 (01) :28-37
[3]  
American Society of Heating and Air-Conditioning Engineers (ASHAE), ASHRAE ADV EN DES GU
[4]   Methods and tools to evaluate the availability of renewable energy sources [J].
Angelis-Dimakis, Athanasios ;
Biberacher, Markus ;
Dominguez, Javier ;
Fiorese, Giulia ;
Gadocha, Sabine ;
Gnansounou, Edgard ;
Guariso, Giorgio ;
Kartalidis, Avraam ;
Panichelli, Luis ;
Pinedo, Irene ;
Robba, Michela .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2011, 15 (02) :1182-1200
[5]  
[Anonymous], MODELING CUSTOMER AD
[6]  
[Anonymous], P 2012 IEEE PES INN
[7]  
[Anonymous], 2012, BREEAM COMMUNITIES M
[8]  
[Anonymous], EN DEM PLANN
[9]  
[Anonymous], 1981, P 3 INT C EN US MAN
[10]  
[Anonymous], IEEE POW TECH C