Spatial comparison of renewable energy supply and energy demand for low-carbon settlements

被引:25
|
作者
Vettorato, Daniele [1 ]
Geneletti, Davide [1 ,2 ]
Zambelli, Pietro [1 ]
机构
[1] Univ Trento, Dept Civil & Environm Engn, I-38123 Trento, Italy
[2] Harvard Univ, Sustainabil Sci Program, Cambridge, MA 02138 USA
关键词
Local scale; GIS; Building; Solar irradiation; Ground-source heat; Wood biomass; Urban morphology; Water supply system; HEAT;
D O I
10.1016/j.cities.2011.07.004
中图分类号
TU98 [区域规划、城乡规划];
学科分类号
0814 ; 082803 ; 0833 ;
摘要
Cities are responsible for a large part of primary energy demand and emissions worldwide. Hence, the use of renewable energy sources (RES) is becoming a key issue in the international debate on the sustainability of urban development models. Most of the literature addresses this issue by focusing on metropolitan areas, disregarding analyses that can support urban design at smaller scales. This paper presents and applies a method to estimate and compare the potential supply of RES and the energy demand of buildings (EDB) at local scale by: (a) performing a spatial estimation of the potential exploitation of RES; (b) performing a spatial estimation of EDB, by considering their characteristics and location, as well as the urban morphology and the settlement design; (c) assessing the spatial congruence between supply and demand patterns. Four RES were analyzed: solar irradiation, ground-source heat, wood biomass and hydropower from existing drinking water supply systems. Suitability maps for each energy source were first developed, and then combined to obtain a composite map, which was eventually compared with the EDB map. The method is based on spatial and statistical analyses conducted in a geographical information system (GIS), using data layers coming from a range of different sources. The case application is represented by an alpine municipality in Trentino, northern Italy. Even though the proposed approach is affected by uncertainties and data scarcity, it showed how datasets and tools available today can be used to provide spatial estimates of RES suitability for exploitation, supporting the selection of areas that are intrinsically suitable for the design of low-carbon settlements. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:557 / 566
页数:10
相关论文
共 50 条
  • [41] Low-Carbon Economic Dispatch of Multi-Energy Park Considering High Proportion of Renewable Energy
    Lü X.
    Liu T.
    Liu X.
    He C.
    Nan L.
    Zeng H.
    He, Chuan (he_chuan@scu.edu.cn), 1600, Shanghai Jiaotong University (55): : 1586 - 1597
  • [42] Blockchain-Based Renewable Energy Certificate Trade for Low-Carbon Community of Active Energy Agents
    Fu, Shengcheng
    Tan, Yaxin
    Xu, Zhiyu
    SUSTAINABILITY, 2023, 15 (23)
  • [43] Can China’s renewable energy industry policy support the low-carbon energy transition effectively?
    Zhao Xin-gang
    Zhou Ying
    Environmental Science and Pollution Research, 2023, 30 : 29525 - 29549
  • [44] Can China's renewable energy industry policy support the low-carbon energy transition effectively?
    Xin-Gang, Zhao
    Ying, Zhou
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (11) : 29525 - 29549
  • [45] Examining the effectiveness of low-carbon strategies in South Asian countries: the case of energy efficiency and renewable energy
    Irfan, Mohd
    Mahapatra, Bamadev
    Ojha, Raj Kumar
    ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2021, 23 (08) : 11936 - 11952
  • [46] Low-carbon Frontier: Renewable Energy and the New Resource Boom in Western China
    Harlan, Tyler
    CHINA QUARTERLY, 2023, 255 : 591 - 610
  • [47] Does the low-carbon transition promote the ESG disclosure of renewable energy enterprises?
    Hu Wang
    Environmental Science and Pollution Research, 2023, 30 : 91369 - 91376
  • [48] Economic and low-carbon island operation scheduling strategy for microgrid with renewable energy
    Liu, Yang
    Jiang, Zhanpeng
    Xing, Zuoxia
    Hao, Lichao
    Qu, Boyang
    ENERGY REPORTS, 2022, 8 : 196 - 204
  • [49] Researches on application of the renewable energy technologies in the development of low-carbon rural tourism
    Chen Chaoqun
    2010 INTERNATIONAL CONFERENCE ON ENERGY, ENVIRONMENT AND DEVELOPMENT (ICEED2010), 2011, 5 : 1722 - 1726
  • [50] Rethinking Low-Carbon Edge Computing System Design with Renewable Energy Sharing
    Liao, Hanlong
    Tang, Guoming
    Guo, Deke
    Wang, Yi
    Cao, Ruide
    53RD INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING, ICPP 2024, 2024, : 950 - 960