NDLI: A Comprehensive Risk Management System on Building Energy Retrofit

Content Provider	IEEE Xplore Digital Library
Author	Wei, E. Bagheri, S.R. Rangavajhala, S. Shen, E.
Copyright Year	2014
Description	Author affiliation: Philips Res. North America, Briarcliff Manor, NY, USA (Wei, E.; Bagheri, S.R.; Rangavajhala, S.; Shen, E.)
Abstract	Due to the fluctuations in energy prices and the global warming effects as a result of pollution emission in the energy generation/conversion processes, energy conservation has gained much attention recently. The buildings in US consume significant amount of energy. Thus undertaking a building retrofitting project, in which new technology and features are added to the existing structure, can potentially both yield a good return on investment due to the future savings in energy consumption and reduce the negative environmental impact due to reduction in greenhouse gas emission. In this project, we study how to optimally perform energy retrofitting of existing building structures. Most existing methods either focus solely on minimizing energy consumption, while overlooking the financial incentives and occupant comfort, or aim at optimizing the energy related expenses under one particular deterministic setting and omitting the stochastic risks, such as volatility in energy pricing, weather uncertainties, in the operating environment. Hence, the building owners may not find the recommendation for building construction/recommendation relevant and profitable over its lifetime, and may not be willing to undertake such projects. This work proposes a novel risk management system on building energy retrofit, which uses a comprehensive optimization framework and considers both deterministic and stochastic factors. In one case study, we show that this system can improve the performance of the building under uncertainties while satisfying constraints imposed by occupant.
Starting Page	281
Ending Page	289
File Size	805808
Page Count	9
File Format	PDF
ISBN	9781479951932
DOI	10.1109/SRII.2014.49
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-04-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robust decision making Schedules Energy consumption Uncertainty Buildings Predictive models Building retrofit Data models System learning Risk management Optimization Meteorology
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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