کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1549367 1513085 2016 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Optimization of photovoltaic–thermal (PVT) based cogeneration system through water replenishment profile
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
پیش نمایش صفحه اول مقاله
Optimization of photovoltaic–thermal (PVT) based cogeneration system through water replenishment profile
چکیده انگلیسی


• Optimum design of photovoltaic–thermal based cogeneration system.
• Methodology to size photovoltaic thermal system by varying water replenishment.
• Mathematical formulation to determine optimal water replenishment profile.
• Approximate water replenishment profile for practical implementation.

A photovoltaic thermal (PVT) system is a renewable cogeneration system that produces low temperature heat and electricity simultaneously from solar radiation. In water based PVT systems, as the thermal load is served, storage tank is replenished immediately with cold makeup water. However, it is possible to determine an optimal water replenishment profile to optimize the overall configuration of PVT system. In this paper, effects of water replenishment on PVT system sizing are studied. At first, the problem is modeled as a mixed integer non-linear programming problem to analyze the impact of water replenishment on PVT system sizing. Subsequently, the design space approach is used to analyze the significance of water replenishment strategy on the PVT system configuration. Finally, based on analytical derivation, an approximate water replenishment profile is determined and its practical implementation strategies are discussed. Applicability of the proposed methodologies is demonstrated through sizing PVT systems for residential as well as industrial hot water usage patterns. Significant reductions in both collector area (10% for residential example and 7% for industrial example) and storage volume (66% for residential example and 23% for industrial example) are observed.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Solar Energy - Volume 133, August 2016, Pages 512–523
نویسندگان
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