Solar energy potential using GIS-based urban residential environmental data: A case study of Shenzhen, China
Abstract
GIS & numerical modeling analyse 4 representative areas. Impact of urban morphology on solar potential examined. Electricity demands assessed against payback periods. Facades optimize PV generation with local demand. Effective planning crucial to harness solar potential.
- Publication:
-
Sustainable Cities and Society
- Pub Date:
- June 2023
- DOI:
- 10.1016/j.scs.2023.104547
- Bibcode:
- 2023SusCS..9304547A
- Keywords:
-
- Solar potential;
- Urban morphology;
- GIS;
- Electricity demand;
- BIPV;
- PV;
- photovoltaics;
- GIS;
- geographical location information;
- CO<SUB loc="post">2</SUB>;
- carbon dioxide;
- BIPV;
- Building-integrated photovoltaics;
- BECCS;
- bioenergy coupled with carbon capture and storage;
- CCS;
- carbon capture and storage;
- RES;
- renewable energy sources;
- DES;
- Distributed Energy System;
- ESS;
- energy storage systems;
- GHI;
- global horizontal irradiance;
- ESMAP;
- Energy Sector Management Assistance Program;
- GH;
- Grasshopper;
- WWR;
- window-to-wall ratio;
- LCA;
- life cycle analysis;
- CBD;
- central business district;
- AI;
- artificial intelligence;
- EPW;
- EnergyPlus Weather File;
- SWERA;
- Solar and Wind Energy Resource Assessment;
- NURBS;
- windows-based non-uniform rational basis spline;
- STPV;
- semi-transparent photovoltaics;
- PR;
- performance ratio;
- CCR;
- cell coverage ratio;
- GWh;
- gigawatt hour;
- MWh;
- milliwatt hour;
- kWh;
- kilowatt hour;
- PBT;
- The payback time;
- SC;
- System class;
- SP;
- Grid selling price;
- BAPV;
- Building applied photovoltaics;
- HJT;
- N-type heterojunction;
- CNY;
- Chinese yuan;
- USD;
- United States dollar