Next Article in Journal / Special Issue
Assessment of the Potential to Achieve very Low Energy Use in Public Buildings in China with Advanced Window and Shading Systems
Previous Article in Journal
Integrating Life Cycle Energy into the Design of Façade Refurbishment for a Post-War Residential Building in The Netherlands
Previous Article in Special Issue
Daylight Design of Office Buildings: Optimisation of External Solar Shadings by Using Combined Simulation Methods
Article Menu

Export Article

Open AccessArticle
Buildings 2015, 5(2), 650-667; doi:10.3390/buildings5020650

Simulating Performance Risk for Lighting Retrofit Decisions

* ,
and
Philips Research North America, Briarcliff Manor, NY 10510, USA
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editor: Richard Mistrick
Received: 2 February 2015 / Revised: 21 May 2015 / Accepted: 22 May 2015 / Published: 28 May 2015
(This article belongs to the Special Issue Advancements in Daylighting in Buildings)
View Full-Text   |   Download PDF [1340 KB, uploaded 28 May 2015]   |  

Abstract

In building retrofit projects, dynamic simulations are performed to simulate building performance. Uncertainty may negatively affect model calibration and predicted lighting energy savings, which increases the chance of default on performance-based contracts. Therefore, the aim of this paper is to develop a simulation-based method that can analyze lighting performance risk in lighting retrofit decisions. The model uses a surrogate model, which is constructed by adaptively selecting sample points and generating approximation surfaces with fast computing time. The surrogate model is a replacement of the computation intensive process. A statistical method is developed to generate extreme weather profile based on the 20-year historical weather data. A stochastic occupancy model was created using actual occupancy data to generate realistic occupancy patterns. Energy usage of lighting, and heating, ventilation, and air conditioning (HVAC) is simulated using EnergyPlus. The method can evaluate the influence of different risk factors (e.g., variation of luminaire input wattage, varying weather conditions) on lighting and HVAC energy consumption and lighting electricity demand. Probability distributions are generated to quantify the risk values. A case study was conducted to demonstrate and validate the methods. The surrogate model is a good solution for quantifying the risk factors and probability distribution of the building performance. View Full-Text
Keywords: risk; lighting; retrofit; simulation; EnergyPlus; surrogate model risk; lighting; retrofit; simulation; EnergyPlus; surrogate model
Figures

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Hu, J.; Shen, E.; Gu, Y. Simulating Performance Risk for Lighting Retrofit Decisions. Buildings 2015, 5, 650-667.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Buildings EISSN 2075-5309 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top