Modeling the Potential for Thermal Concentrating Solar Power Technologies

In this paper we explore the tradeoffs between thermal storage capacity, cost, and other system parameters in order to examine possible evolutionary pathways for thermal concentrating solar power (CSP) technologies A representation of CSP performance that is suitable for incorporation into economic...

Full description

Bibliographic Details
Main Authors: Zhang, Y. B., Smith, S. J., Kyle, G. P., Stackhouse, P. W.
Format: Journal Article
Language:EN
Published: 2012
Online Access:http://hdl.handle.net/10986/5397
id okr-10986-5397
recordtype oai_dc
spelling okr-10986-53972021-04-23T14:02:22Z Modeling the Potential for Thermal Concentrating Solar Power Technologies Zhang, Y. B. Smith, S. J. Kyle, G. P. Stackhouse, P. W. In this paper we explore the tradeoffs between thermal storage capacity, cost, and other system parameters in order to examine possible evolutionary pathways for thermal concentrating solar power (CSP) technologies A representation of CSP performance that is suitable for incorporation into economic modeling tools is developed We also combined existing data in order to estimate the global solar resource characteristics needed for analysis of CSP technologies We find that, as the fraction of electricity supplied by CSP technologies grows, the application of thermal CSP technologies might progress from current hybrid plants, to plants with a modest amount of thermal storage, and potentially even to plants with sufficient thermal storage to provide base load generation capacity. The regional and global potential of thermal CSP technologies was then examined using the GCAM long-term integrated assessment model. (C) 2010 Elsevier Ltd All rights reserved 2012-03-30T07:32:37Z 2012-03-30T07:32:37Z 2010 Journal Article Energy Policy 0301-4215 http://hdl.handle.net/10986/5397 EN http://creativecommons.org/licenses/by-nc-nd/3.0/igo World Bank Journal Article
repository_type Digital Repository
institution_category Foreign Institution
institution Digital Repositories
building World Bank Open Knowledge Repository
collection World Bank
language EN
relation http://creativecommons.org/licenses/by-nc-nd/3.0/igo
description In this paper we explore the tradeoffs between thermal storage capacity, cost, and other system parameters in order to examine possible evolutionary pathways for thermal concentrating solar power (CSP) technologies A representation of CSP performance that is suitable for incorporation into economic modeling tools is developed We also combined existing data in order to estimate the global solar resource characteristics needed for analysis of CSP technologies We find that, as the fraction of electricity supplied by CSP technologies grows, the application of thermal CSP technologies might progress from current hybrid plants, to plants with a modest amount of thermal storage, and potentially even to plants with sufficient thermal storage to provide base load generation capacity. The regional and global potential of thermal CSP technologies was then examined using the GCAM long-term integrated assessment model. (C) 2010 Elsevier Ltd All rights reserved
format Journal Article
author Zhang, Y. B.
Smith, S. J.
Kyle, G. P.
Stackhouse, P. W.
spellingShingle Zhang, Y. B.
Smith, S. J.
Kyle, G. P.
Stackhouse, P. W.
Modeling the Potential for Thermal Concentrating Solar Power Technologies
author_facet Zhang, Y. B.
Smith, S. J.
Kyle, G. P.
Stackhouse, P. W.
author_sort Zhang, Y. B.
title Modeling the Potential for Thermal Concentrating Solar Power Technologies
title_short Modeling the Potential for Thermal Concentrating Solar Power Technologies
title_full Modeling the Potential for Thermal Concentrating Solar Power Technologies
title_fullStr Modeling the Potential for Thermal Concentrating Solar Power Technologies
title_full_unstemmed Modeling the Potential for Thermal Concentrating Solar Power Technologies
title_sort modeling the potential for thermal concentrating solar power technologies
publishDate 2012
url http://hdl.handle.net/10986/5397
_version_ 1764394902352822272