Design and operation of increased thermal capacitance and dual thermal storage and its effects on building energy dependence

2019 ◽  
Vol 35 ◽  
pp. 354-364
Author(s):  
Mary Wilson ◽  
Heejin Cho ◽  
Pedro J. Mago
Keyword(s):  
Energy Dependence ◽  
Thermal Storage ◽  
Building Energy ◽  
Thermal Capacitance

scholarly journals AN INVESTIGATION STUDY ON EXISTING BUILDING ENERGY EFFICIENCY RENOVATION WITH A WATER THERMAL STORAGE SYSTEM

2021 ◽  
Vol 27 (66) ◽  
pp. 779-784
Author(s):  
Tadao YAGI ◽  
Shigehiro ICHINOSE ◽  
Hiroyuki MIYAJI ◽  
Hironori KIMURA ◽  
Tomoya KAWAJI
Keyword(s):  
Energy Efficiency ◽  
Storage System ◽  
Thermal Storage ◽  
Building Energy ◽  
Building Energy Efficiency ◽  
Existing Building

Comparison and Implementation of Thermally Massive Wall and Roof Models for Use in Simplified Building Energy Models

2020 ◽  
Author(s):  
Christopher Fernandez ◽  
Sheldon Jeter
Keyword(s):  
Closed Form Solution ◽  
Operation Time ◽  
Building Energy ◽  
Form Solution ◽  
Alternative Methods ◽  
Simplified Models ◽  
Energy Models ◽  
Thermal Capacitance ◽  
Difference Calculation ◽  
Simulation Time

Abstract An increasing trend in building energy simulations is to use simplified models to reduce simulation time, evaluate different model configurations, and analyze for energy consumption across different constructions and weather climates. Simplified models tend to share some common benefits such as ease of calibration and reduced setup and operation time. All of which allows for shorter time and simpler program to evaluate different situations or systems. Some of these simplified models ignore thermal capacitance within walls and roofs; removing thermal capacitance can decrease simulation time but may alter loading due to ignoring the delay between when exterior surfaces receive loading and when the load is transferred to the interior. While this simplification is sometimes useful, it often overlooks the delay that occurs between the external wall heating and that heat being transferred to the interior. This paper will explore alternative methods for evaluating conduction loads in opaque surfaces for use in building energy models. Specifically, a differential equation conduction method with numerical integration, closed form solution, and forward difference calculation. These methods will be evaluated for how different conduction simulation techniques can be used in different situations to provide a potential increase in accuracy for simplified models while simultaneously reducing computational loads. Understanding the physics of dynamic envelope loading can change how much energy a building uses and when room conditioning needs to occur.

scholarly journals A Methodology for the Enhancement of the Energy Flexibility and Contingency Response of a Building Through Predictive Control of Passive and Active Storage

Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1387
Author(s):  
Jennifer Date ◽  
José A. Candanedo ◽  
Andreas K. Athienitis
Keyword(s):  
Predictive Control ◽  
Thermal Energy ◽  
Control Strategies ◽  
Thermal Storage ◽  
Building Energy ◽  
Load Management ◽  
Active Storage ◽  
Rate Structure ◽  
Heating Load ◽  
Zone Temperature

Optimal management of thermal energy storage in a building is essential to provide predictable energy flexibility to a smart grid. Active technologies such as Electric Thermal Storage (ETS) can assist in building heating load management and can complement the building’s passive thermal storage capacity. The presented paper outlines a methodology that utilizes the concept of Building Energy Flexibility Index (BEFI) and shows that implementing Model Predictive Control (MPC) with dedicated thermal storage can provide predictable energy flexibility to the grid during critical times. When the utility notifies the customer 12 h before a Demand Response (DR) event, a BEFI up to 65 kW (100% reduction) can be achieved. A dynamic rate structure as the objective function is shown to be successful in reducing the peak demand, while a greater reduction in energy consumption in a 24-hour period is seen with a rate structure with a demand charge. Contingency reserve participation was also studied and strategies included reducing the zone temperature setpoint by 2∘C for 3 h or using the stored thermal energy by discharging the device for 3 h. Favourable results were found for both options, where a BEFI of up to 47 kW (96%) is achieved. The proposed methodology for modeling and evaluation of control strategies is suitable for other similar convectively conditioned buildings equipped with active and passive storage.

ENERGY DEPENDENCE OF THE POLARISATION IN ZERO-FIELD QUANTUM BEATS IN Hβ EMISSION

1979 ◽  
Vol 40 (C1) ◽  
pp. C1-335-C1-337 ◽  
Author(s):  
J. Carmeliet ◽  
J. C. Dehaes ◽  
W. Singer
Keyword(s):  
Energy Dependence ◽  
Quantum Beats ◽  
Zero Field
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