[Paper Review] Smart Grid Testbed for Demand Focused Energy Management in End User Environments

Wayes Tushar, Chau Yuen+5 more|arXiv (Cornell University)|Mar 22, 2016

Smart Grid Energy Management11 references4 citations

TL;DR

This paper presents a smart grid testbed at the Singapore University of Technology and Design (SUTD) that monitors real-time energy consumption in residential and commercial settings using a dual-network architecture (HAN and NAN) with diverse communication technologies. The testbed enables real-time demand response, energy management, and incentive design, demonstrating potential savings of up to SGD 11,100 from reduced energy wastage in office environments over 54 days.

ABSTRACT

Successful deployment of smart grids necessitates experimental validities of their state-of-the-art designs in two-way communications, real-time demand response and monitoring of consumers' energy usage behavior. The objective is to observe consumers' energy usage pattern and exploit this information to assist the grid in designing incentives, energy management mechanisms, and real-time demand response protocols; so as help the grid achieving lower costs and improve energy supply stability. Further, by feeding the observed information back to the consumers instantaneously, it is also possible to promote energy efficient behavior among the users. To this end, this paper performs a literature survey on smart grid testbeds around the world, and presents the main accomplishments towards realizing a smart grid testbed at the Singapore University of Technology and Design (SUTD). The testbed is able to monitor, analyze and evaluate smart grid communication network design and control mechanisms, and test the suitability of various communications networks for both residential and commercial buildings. The testbeds are deployed within the SUTD student dormitories and the main university campus to monitor and record end-user energy consumption in real-time, which will enable us to design incentives, control algorithms and real-time demand response schemes. The testbed also provides an effective channel to evaluate the needs on communication networks to support various smart grid applications. In addition, our initial results demonstrate that our testbed can provide an effective platform to identify energy wastage, and prompt the needs of a secure communications channel as the energy usage pattern can provide privacy related information on individual user.

Motivation & Objective

• To develop a real-world testbed for validating smart grid communication and control systems in end-user environments.
• To evaluate the performance and suitability of various communication technologies (BPL, TVWS, HAN, NAN) in residential and commercial buildings.
• To identify energy wastage patterns and enable real-time demand response mechanisms to reduce consumption and costs.
• To design incentive schemes that promote user participation in demand response and energy efficiency programs.
• To establish a secure, low-latency communication infrastructure supporting real-time energy monitoring and control.

Proposed method

• Deployment of a dual-network architecture: Home Area Network (HAN) for in-building data collection and Neighborhood Area Network (NAN) for connecting HANs to a central data concentrator.
• Implementation of a unified home gateway (UHG) to aggregate energy data from smart meters and sensors in each residential unit and office space.
• Use of diverse communication technologies—broadband power line (BPL), TV white space (TVWS), and wired/wireless HAN/NAN protocols—for evaluating network performance under real conditions.
• Real-time data collection from lights, air conditioning systems (ACS), and occupancy sensors to model energy usage and detect idle-state wastage.
• Development of energy consumption models and real-time control algorithms for ACSs under dynamic pricing and occupancy conditions.
• Design and testing of an optimal meeting scheduler to minimize energy costs by aligning meeting room usage with off-peak electricity pricing.

Experimental results

Research questions

• RQ1 Which communication technologies (BPL, TVWS, HAN, NAN) are most effective and reliable for real-time energy monitoring in mixed residential and commercial environments?
• RQ2 How significant is energy wastage in office environments due to unoccupied rooms with lights and ACSs left on?
• RQ3 Can real-time demand response mechanisms, such as dynamic thermostat control and occupancy-based switching, effectively reduce peak load and energy costs?
• RQ4 What is the potential cost savings from optimizing meeting room scheduling in a dynamic pricing electricity market?
• RQ5 How can secure, low-latency communication infrastructure support real-time feedback and incentive mechanisms in end-user energy management?

Key findings

• The testbed successfully monitors real-time energy consumption across 8 office rooms, identifying an average of 6.376 kWh and 232.025 kWh of wastage per room from lights and air conditioning systems, respectively, during unoccupied periods.
• If scaled to 200 office rooms over 54 days, the total estimated energy wastage amounts to 47,680.2 kWh, translating to approximately SGD 11,100 in avoidable electricity costs.
• The testbed demonstrates that automated on/off control of air conditioning systems during unoccupied periods can achieve significant energy savings and peak load shaving.
• The deployment of occupancy sensors (motion/noise detection) enables accurate identification of idle rooms, forming the basis for automated energy-saving interventions.
• The communication infrastructure supports low-latency, reliable data transmission, validating its suitability for real-time demand response and energy management applications.
• The testbed provides a flexible platform for evaluating various smart grid applications, including dynamic pricing integration and incentive design, enhancing user acceptance and system adoption.