Author: J. M. Schultz
Publisher:
ISBN:
Category :
Languages : en
Pages : 27

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Author: Song Chun Li
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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A dynamic model of a radiant floor heating (RFH) system which predicts the dynamic response of RFH system has been developed. The overall model consists of a boiler, an embedded tube floor slab and building enclosure. The overall model was described by nonlinear differential equations, which were programmed and solved using in MATLAB. The RFH system model has been applied to both a single zone and a multi-zone RFH system. The predicted dynamic responses of the model under several operating conditions were studied. Also, a zonal model of RFH system was developed to study the air temperature distribution in the zone. Three different control strategies for improving the performance of RFH systems were explored. These are: (i) a conventional PI control, (ii) a predictive control and (iii) an optimal control. The simulation results show that PI control strategy is an efficient control strategy for RFH system from the point of view of temperature regulation. The simulation results also show that the predictive PI control maintains zone air temperature close to the set-point better than the conventional PI control. Besides, the predictive PI control strategy saves 10∼15% energy, compared to the conventional PI control strategy. In addition, the simulation results also show that the optimal PI control strategy could slightly improve both the zone air temperature regulation and energy efficiency, compared to the predictive PI control. Since the predictive control strategy is simple and easy to implement, it is considered as a good candidate strategy for RFH systems.

Author: Belkacem Chikh
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Author: SEUNG-BOK LEIGH
Publisher:
ISBN:
Category :
Languages : en
Pages : 514

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to the space. In contrast, MacCluer (1989) proposed the new concept of proportional flux-modulation: control of heat flow rate, not temperature.

Author: D. Yogi Goswami
Publisher: Springer Science & Business Media
ISBN: 3540759972
Category : Technology & Engineering
Languages : en
Pages : 3091

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Book Description
ISES Solar World Congress is the most important conference in the solar energy field around the world. The subject of ISES SWC 2007 is Solar Energy and Human Settlement, it is the first time that it is held in China. This proceedings consist of 600 papers and 30 invited papers, whose authors are top scientists and experts in the world. ISES SWC 2007 covers all aspects of renewable energy, including PV, collector, solar thermal electricity, wind, and biomass energy.

Author: Fushuan Wen
Publisher: Springer Nature
ISBN: 9819770475
Category :
Languages : en
Pages : 644

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Author:
Publisher:
ISBN:
Category : Power resources
Languages : en
Pages : 724

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Semiannual, with semiannual and annual indexes. References to all scientific and technical literature coming from DOE, its laboratories, energy centers, and contractors. Includes all works deriving from DOE, other related government-sponsored information, and foreign nonnuclear information. Arranged under 39 categories, e.g., Biomedical sciences, basic studies; Biomedical sciences, applied studies; Health and safety; and Fusion energy. Entry gives bibliographical information and abstract. Corporate, author, subject, report number indexes.

Author: Zhaojun Wang
Publisher: Springer Nature
ISBN: 9811395284
Category : Technology & Engineering
Languages : en
Pages : 1492

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This book presents selected papers from the 11th International Symposium on Heating, Ventilation and Air Conditioning (ISHVAC 2019), with a focus on HVAC techniques for improving indoor environment quality and the energy efficiency of heating and cooling systems. Presenting inspiration for implementing more efficient and safer HVAC systems, the book is a valuable resource for academic researchers, engineers in industry, and government regulators.

Author: Patrick Elie Kattan
Publisher:
ISBN:
Category :
Languages : en
Pages : 258

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In this thesis, a new model of under-floor heating systems is developed and validated with published data; the model represents a compromise between the accuracy and the complexity of other models found in the literature, and could be used for transient simulations under several control strategies. In addition, a study is conducted to compare the energy efficiency of under-floor and convective heating systems under equal indoor comfort levels and air quality, for the four climatic zones of Lebanon; the results show that the radiant systems provide 26% reduction in the peak demand, and 30% reduction in the energy consumption. Moreover, an integrated solar/diesel heating system is proposed as the energy source, and design charts are developed for the sizing of the solar system. The solar panels area is then optimized based on a cost analysis in order to minimize the total cost of the system over its life time. Finally, two case studies are conducted for Beirut and Cedars; it was found that the integrated system will pay-back in 12 years in Beirut and in 7 years in Cedars.

Author: José Augustín Candanedo Ibarra
Publisher:
ISBN:
Category :
Languages : en
Pages : 286

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This thesis investigates the development of predictive control strategies for optimally or near-optimally designed solar homes. Optimal design refers to the integration of renewable energy technologies (mainly active and passive solar) with a high-quality building envelope as well as efficiency and conservation measures to achieve substantial reductions in energy consumption and peak demand. Effective implementation of these technologies requires an integrated design approach, which considers their interactions with the building and its services. Furthermore, control strategies must be an essential part of the integrated design of a building to improve energy performance and ensure occupant comfort. In optimally designed solar homes, control strategies should incorporate the collection, storage and delivery of solar energy. Weather forecasts along with an understanding of the building's thermal dynamics (e.g., time delays due to thermal mass) enable predicting and managing loads and solar energy availability. Design and operation strategies of a case study, the Alstonvale House, are presented. Features of this house include passive solar design, a building-integrated photovoltaic/thermal (BIPV/T) system coupled with a solar-assisted heat pump, a thermal energy storage tank and a radiant floor heating system in a thermally massive concrete slab. Design and control approaches developed for the Alstonvale House provided the basis for generalized control strategies applicable to optimally designed solar homes. Simplified building models, which can be derived from more detailed models or on-site measurements, can facilitate the implementation of predictive control techniques. In this investigation, model-based predictive control was applied to a radiant floor heating system and the position of roller blinds in a room with high solar gains. Predictive control can also be applied to optimize the operation of renewable energy systems. In this study, forecasts of heating loads and solar radiation were used in a dynamic programming algorithm to select a near-optimal set-point trajectory for an energy storage tank heated with a heat pump assisted by a BIPV/T system.