Poster Abstract: Analytics Driven Operational Efficiency in HVAC Systems

被引：3

作者：

Ferdoash, Afreen ^{[2
]}

Saini, Shubham ^{[1
]}

Khurana, Jitesh ^{[2
]}

Singh, Amarjeet ^{[1
,2
]}

机构：

[1] IIIT Delhi, Delhi, India

[2] Zenatix Solut Pvt Ltd, Gurgaon, Haryana, India

来源：

BUILDSYS'15 PROCEEDINGS OF THE 2ND ACM INTERNATIONAL CONFERENCE ON EMBEDDED SYSTEMS FOR ENERGY-EFFICIENT BUILT | 2015年

关键词：

HVAC; BMS; Energy Analytics;

D O I：

10.1145/2821650.2830301

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Heating, Ventilation and Air Conditioning (HVAC) systems are one of the biggest consumers of energy within commercial buildings, contributing to over 40% of their energy usage. A large scale Building Management System (BMS) comprising of hundreds of sensors and actuators is commonly used to appropriately manage the HVAC operations in a facility. Such BMS require manual set points (e.g. time to switch on the chillers in the morning) which are often driven by some thumb rules. Further, large scale data generated by BMS is rarely analyzed to identify opportunities for operational savings. In this paper we take two specific use cases - 1. Optimal start time for HVAC for pre -cooling the buildings to desired temperature; and 2. Identifying excessive air -flow in the HVAC system using large scale BMS data leading to opportunities for energy savings. We use data from two buildings in India to demonstrate the effectiveness of using such simple analytics in identifying the energy saving potential from the HVAC system.

引用

页码：107 / 108

页数：2