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A convex approach to a class of non-convex building HVAC control problems: Illustration by two case studies

Ercan Atam, +1 more
- 15 Apr 2015 - 
- Vol. 93, pp 269-281
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TLDR
In this article, a convexification approach is presented for a class of non-convex optimal/model predictive control problems more specifically applied to building HVAC control problems.
About
This article is published in Energy and Buildings.The article was published on 2015-04-15 and is currently open access. It has received 28 citations till now. The article focuses on the topics: Optimal control & Adaptive control.

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Citations
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Current software barriers to advanced model-based control design for energy-efficient buildings

TL;DR: In this article, a review of the commonly used major software and tools by the community is done with respect to the barriers they present to advanced model-based control design for energy-efficient buildings.
Journal ArticleDOI

Optimal Control Approaches for Analysis of Energy Use Minimization of Hybrid Ground-Coupled Heat Pump Systems

TL;DR: A prediction-based dynamic programming (DP) control approach, a nonlinear model predictive control (NMPC) approach, and a linear optimal control (LOC) approach are presented to analyze the minimization of the total energy use of a hybrid ground-coupled heat pump system under operational constraints.
Journal ArticleDOI

Energy performance optimization in buildings: A review on semantic interoperability, fault detection, and predictive control

TL;DR: This review article is focused on three major research topics in the field of energy-efficient buildings, namely, semantic interoperability between heterogeneous and complex systems, methods for fault detection and diagnosis, and model-predictive control.
Journal ArticleDOI

A review of advanced ground source heat pump control: Artificial intelligence for autonomous and adaptive control

TL;DR: In this article , the authors reviewed the challenges of GSHP control and the strategies for control optimisation found in the literature, from basic rule-based system to artificial neural network-based strategies.
Journal ArticleDOI

A review of advanced ground source heat pump control: Artificial intelligence for autonomous and adaptive control

TL;DR: In this paper, the authors reviewed the challenges of GSHP control and the strategies for control optimisation found in the literature, from basic rule-based system to artificial neural network-based strategies.
References
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Book

Convex Optimization

TL;DR: In this article, the focus is on recognizing convex optimization problems and then finding the most appropriate technique for solving them, and a comprehensive introduction to the subject is given. But the focus of this book is not on the optimization problem itself, but on the problem of finding the appropriate technique to solve it.
Book

Dynamic Programming and Optimal Control

TL;DR: The leading and most up-to-date textbook on the far-ranging algorithmic methododogy of Dynamic Programming, which can be used for optimal control, Markovian decision problems, planning and sequential decision making under uncertainty, and discrete/combinatorial optimization.
Proceedings ArticleDOI

YALMIP : a toolbox for modeling and optimization in MATLAB

TL;DR: Free MATLAB toolbox YALMIP is introduced, developed initially to model SDPs and solve these by interfacing eternal solvers by making development of optimization problems in general, and control oriented SDP problems in particular, extremely simple.
Journal ArticleDOI

Computability of global solutions to factorable nonconvex programs: Part I — Convex underestimating problems

TL;DR: For nonlinear programming problems which are factorable, a computable procedure for obtaining tight underestimating convex programs is presented to exclude from consideration regions where the global minimizer cannot exist.
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Q1. What are the contributions in "A convex approach to a class of non-convex building hvac control problems: illustration by two case studies" ?

In this paper, a convexification approach is presented for a class of non-convex optimal/model predictive control problems more specifically applied to building HVAC control problems. The suggested method is especially useful for optimal building HVAC control/design problems which include non-convex bilinear or fractional terms.