Evaluation of Measurement and Verification Procedures for Retrofit Savings Using Calibrated Energy Building Models

2010 ◽  
Author(s):  
Niko Kalinic ◽  
Moncef Krarti
Keyword(s):  
Energy Conservation ◽  
Energy Use ◽  
Energy Savings ◽  
Residential Buildings ◽  
Simulation Models ◽  
Building Envelope ◽  
Measurement And Verification ◽  
Conservation Measures ◽  
Before And After ◽  
Energy Conservation Measures

Calibrated energy simulations are often used to predict savings from energy conservation measures with little information about their associated prediction uncertainties. In this paper, the savings predicted by calibrated simulation models are compared to actual savings obtained through monitoring energy use before and after implementing selected energy conservation measures for three residential buildings. Both building envelope and HVAC system related energy conservation measures are considered in the study. Through case studies, this validity of using calibrated energy models for the estimation and verification of savings associated with energy conservation measures is thoroughly evaluated. Moreover, the paper provides useful guidelines for using calibrated models for measurement and verification energy savings from various weatherization programs specific to residential buildings.

scholarly journals Towards Sustainable Energy Retrofitting, a Simulation for Potential Energy Use Reduction in Residential Buildings in Palestine

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3876
Author(s):  
Sameh Monna ◽  
Adel Juaidi ◽  
Ramez Abdallah ◽  
Aiman Albatayneh ◽  
Patrick Dutournie ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Energy Use ◽  
Energy Savings ◽  
Residential Buildings ◽  
Residential Building ◽  
Simulation Models ◽  
Water Heating ◽  
Heating And Cooling ◽  
Space Cooling ◽  
Cooling Loads

Since buildings are one of the major contributors to global warming, efforts should be intensified to make them more energy-efficient, particularly existing buildings. This research intends to analyze the energy savings from a suggested retrofitting program using energy simulation for typical existing residential buildings. For the assessment of the energy retrofitting program using computer simulation, the most commonly utilized residential building types were selected. The energy consumption of those selected residential buildings was assessed, and a baseline for evaluating energy retrofitting was established. Three levels of retrofitting programs were implemented. These levels were ordered by cost, with the first level being the least costly and the third level is the most expensive. The simulation models were created for two different types of buildings in three different climatic zones in Palestine. The findings suggest that water heating, space heating, space cooling, and electric lighting are the highest energy consumers in ordinary houses. Level one measures resulted in a 19–24 percent decrease in energy consumption due to reduced heating and cooling loads. The use of a combination of levels one and two resulted in a decrease of energy consumption for heating, cooling, and lighting by 50–57%. The use of the three levels resulted in a decrease of 71–80% in total energy usage for heating, cooling, lighting, water heating, and air conditioning.

Sustainability and cost assessment of coastal vacation homes for energy retrofits

2017 ◽  
Vol 7 (2) ◽  
pp. 185-198 ◽  
Author(s):  
Kamalesh Panthi ◽  
Kanchan Das ◽  
Tarek Abdel-Salam
Keyword(s):  
Energy Use ◽  
Energy Savings ◽  
Residential Buildings ◽  
Building Envelope ◽  
Energy Usage ◽  
Water Heater ◽  
Content Type ◽  
Modeling Software ◽  
Energy Use Intensity

Purpose Vacation rental homes, in general, have different energy usage characteristics than traditional residential homes mainly because of the occupancy pattern that changes on a weekly basis. These homes, predominantly larger in size, offer a greater scope for energy savings also because of the wasteful habits of their seasonal occupants. The purpose of this paper is to investigate the causes of energy inefficiencies prevalent in these homes so that appropriate retrofit choices can be offered to homeowners. Design/methodology/approach This research presents a case study of a vacation rental home whose energy consumption was investigated in depth and energy inefficiencies identified through modeling using energy modeling software, eQUEST. Simulations were performed to identify viable retrofit scenarios. Findings While improvement in the building envelope such as providing shades/overhangs on the windows, reducing infiltration and increasing insulation of the exterior wall did not show promising results for savings on energy cost, other improvements such as use of highly efficient lamps, tank-less water heater system and occupancy sensors showed viable investment options with shorter payback periods. It was also found that energy use intensity of sampled houses was about half of the average of US residential buildings, which could primarily be attributed to the seasonal nature of occupancy of these houses. Originality/value There is a dearth of literature pertaining to energy efficiency-related retrofits of coastal vacation homes. This research fills that gap to some extent by addressing this issue with an ultimate aim of assisting homeowners in retrofit decision-making.

Energy Saving Studies in Industrial Facilities

2008 ◽  
Author(s):  
Mehmet Kanoglu ◽  
Ilker Karabay ◽  
Ibrahim Dincer
Keyword(s):  
Energy Consumption ◽  
Energy Conservation ◽  
Energy Saving ◽  
Energy Use ◽  
High Efficiency ◽  
Industrial Sector ◽  
Total Energy Consumption ◽  
Industrial Facilities ◽  
Conservation Measures ◽  
Energy Conservation Measures

Efficient energy use is critical for the success of any industrial facility since reduced energy consumption through energy conservation/saving programs can benefit not only consumers and utilities, but society in general as well. In particular, reduced energy consumption generally leads to reduced emissions of greenhouse gases and other air pollutants into the environment. It also helps reduce the operational costs in the facility. There is a strong need to take some energy saving measures in every plant/ facility. Although these may be quite diverse, some of these measures include thermal insulation, use of more efficient equipment, heat recovery systems, high efficiency lighting, changing the fuel, reducing the cost of compressed air, and enhancing productivity. In this study, some certain energy conservation measures are considered for assessing a packaging film manufacturing facility in Gaziantep, Turkey. Taking advantage of dry and hot climates of the city, cooling compressor inlet air by evaporative cooling technique is also assessed. Our investigation shows that there is a huge room for energy conservation measures. The total savings potential are expected to be 869,350 YTL (about $725,000) representing about 16% of the total energy consumption. The payback periods for the identified measures are justified. We believe that the results are typical rather than exceptional for the industrial sector in Turkey.

Implementing Solar Energy in the Colorado Production Home Market

Solar Energy ◽  
2006 ◽  
Author(s):  
Jeffrey R. Lyng ◽  
Michael J. Brandemuehl
Keyword(s):  
Energy Efficiency ◽  
Solar Energy ◽  
Energy Conservation ◽  
Energy Savings ◽  
Renewable Portfolio Standard ◽  
Home Market ◽  
Additional Energy ◽  
Production Scale ◽  
Conservation Measures ◽  
Energy Conservation Measures

A standardized deployment of solar electric systems in the Colorado production home market is crucial to the success of the renewable portfolio standard recently adopted by Colorado voters. This research uses the Built Green® program as a context for investigating energy conservation measures (ECMs), viable within the production home market, for their efficacy in curtailing new home annual energy consumption and peak electrical demand loads. The research examines the cost effectiveness and impact of residential solar systems compared to the energy conservation measures. Colorado is a state with good solar resources and considerable production-scale residential development. However, most production homes built in the state today are not highly energy efficient. It is generally believed that improvements to energy efficiency — more insulation, better windows, more efficient appliances — are more cost-effective than solar production systems given current costs. In other words, most production homes in Colorado are not ready to don a solar home system (SHS). The analysis uses extensive energy simulation to determine energy savings of selected energy-saving home features relative to the baseline Building America Benchmark for Denver, CO. This optimization process seeks to identify the least-cost combinations of improvements, assuming present day component costs, with the greatest annual energy savings, with the ultimate goal of implementing solar energy in the Colorado production home market. The results of the analysis suggest that optimal characteristics of production home, designed to minimize total costs, are readily achievable in today’s market. Moreover, when these optimal ECMs are implemented, the marginal cost of a SHS is found to be less than additional energy efficiency. With further energy efficiency improvements, site-based solar electric systems can compete economically given current state and federal incentive programs. The results also indicate that a solar system oriented west of due south can offer significant reductions in peak demand relative to both the household and utility load profiles.

Estimation of Energy Savings for Building Retrofits Using Neural Networks

1998 ◽  
Vol 120 (3) ◽  
pp. 211-216 ◽  
Author(s):  
M. Krarti ◽  
J. F. Kreider ◽  
D. Cohen ◽  
P. Curtiss
Keyword(s):  
Neural Networks ◽  
Energy Conservation ◽  
Case Studies ◽  
Energy Savings ◽  
Commercial Buildings ◽  
Background Information ◽  
Conservation Measures ◽  
Energy Conservation Measures

This paper overviews some applications of neural networks (NNs) to estimate energy and demand savings from retrofits of commercial buildings. First, a brief background information on NNs is provided. Then, three specific case studies are described to illustrate how and when NNs can be used successfully to determine energy savings due to the implementation of various energy conservation measures in existing commercial buildings.

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