Initial Study on Controllable Roofing System to Tailor Building Solar Loads for Increased HVAC Efficiency

Space heating and cooling account for a significant percentage of a building's overall energy usage profile. The construction of a building's envelope is an essential component that impacts the overall heating and cooling load. For many years, flat roofs were covered with low albedo materials such as asphalt or modified bitumen, which can reach temperatures of 60 °C–80 °C during summer months. More recently, alternative technologies, such as “white roofs,” have been put forth to mitigate the problem of unwanted thermal gain. However, these traditional roofing materials and recent innovations are passive structures and only promote seasonal benefits. This paper proposes and demonstrates the concept of a controllable reflectance roofing system that can tailor solar loads to desired heating or cooling, significantly reducing overall space heating and cooling energy requirements and costs.

Download Full-text

Active Modulated Reflectance Roofing System to Tailor Building Solar Loads for Increased HVAC Efficiency

Volume 2: Economic, Environmental, and Policy Aspects of Alternate Energy; Fuels and Infrastructure, Biofuels and Energy Storage; High Performance Buildings; Solar Buildings, Including Solar Climate Control/Heating/Cooling; Sustainable Cities and Communities, Including Transportation; Thermofluid Analysis of Energy Systems, Including Exergy and Thermoeconomics ◽

10.1115/es2014-6386 ◽

2014 ◽

Author(s):

Daniel M. Wolfe ◽

Keith Goossen

Keyword(s):

Space Heating ◽

Cooling Load ◽

Energy Usage ◽

Modified Bitumen ◽

Alternative Technologies ◽

Heating And Cooling ◽

Heating And Cooling Load ◽

Roofing Materials ◽

Flat Roofs ◽

Roofing System

Space heating and cooling contributes a significant percentage of a building’s overall energy usage profile. The construction of a building’s envelope is an essential component that impacts the overall heating and cooling load. For many years, flat roofs were covered with low albedo materials such as asphalt or modified bitumen, which can reach temperatures of 150°F to 180°F during summer months. More recently, alternative technologies, such as “white roofs”, have been put forth to mitigate the problem of unwanted thermal gain. However, these traditional roofing materials and recent innovations are passive structures and only promote seasonal benefits. This paper proposes and demonstrates the concept of an active variable reflectance roofing system that can tailor solar loads to desired heating or cooling, significantly reducing overall space heating and cooling energy requirements and costs.

Download Full-text

Energy Audit and Analysis of an Institutional Building under Subtropical Climate

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v8i2.pp845-852 ◽

2018 ◽

Vol 8 (2) ◽

pp. 845 ◽

Cited By ~ 1

Author(s):

Yazed Yasin Ghadi ◽

Ali M. Baniyounes

Keyword(s):

Energy Consumption ◽

Energy Savings ◽

Environmental Parameters ◽

Subtropical Climate ◽

University Campus ◽

Energy Usage ◽

Climate Conditions ◽

Heating And Cooling ◽

And Performance ◽

Heating And Cooling Load

<p>Evaluation and estimation of energy consumption are essential in order to classify the amount of energy used and the way it is utilized in building. Hence, the possibility of any energy savings potential and energy savings opportunities can be identified. The intention of this article is to study and evaluate energy usage pattern of the Central Queensland University campus’ buildings, Queensland, Australia. This article presents the field survey results from the audit of an office building and performance-related measurements of the indoor environmental parameters, for instance, indoor air temperature, humidity and energy consumption concerned to the indoor heating and cooling load. Monthly observed energy usage information was employed to investigate influence of the climate conditions on energy usage.</p>

Download Full-text

A STUDY ON THE APPLICATION OF ARTIFICIAL INTELLIGENCE TECHNIQUES FOR PREDICTING THE HEATING AND COOLING LOADS OF BUILDINGS

Journal of Green Building ◽

10.3992/1943-4618.14.3.115 ◽

2019 ◽

Vol 14 (3) ◽

pp. 115-128 ◽

Cited By ~ 4

Author(s):

Sushmita Das ◽

Aleena Swetapadma ◽

Chinmoy Panigrahi

Keyword(s):

Artificial Intelligence ◽

Energy Efficient ◽

Energy Performance ◽

Accurate Estimation ◽

Cooling Load ◽

Alternative Technologies ◽

Heating And Cooling ◽

Energy Efficient Buildings ◽

Cooling Loads ◽

Heating And Cooling Load

The prediction of the heating and cooling loads of a building is an essential aspect in studies involving the analysis of energy consumption in buildings. An accurate estimation of heating and cooling load leads to better management of energy related tasks and progressing towards an energy efficient building. With increasing global energy demands and buildings being major energy consuming entities, there is renewed interest in studying the energy performance of buildings. Alternative technologies like Artificial Intelligence (AI) techniques are being widely used in energy studies involving buildings. This paper presents a review of research in the area of forecasting the heating and cooling load of buildings using AI techniques. The results discussed in this paper demonstrate the use of AI techniques in the estimation of the thermal loads of buildings. An accurate prediction of the heating and cooling loads of buildings is necessary for forecasting the energy expenditure in buildings. It can also help in the design and construction of energy efficient buildings.

Download Full-text