Iowa Association for Energy Efficiency

Poster Presentations

We are excited to have the following poster presentations this year. You will be able to view these posters at any time in the exhibitor hall.


Documenting the Expanding Benefits of Strong Energy Codes: How Energy Codes Impact Community Health
Nicole Westfall, Midwest Energy Efficiency Alliance

Building energy codes have a clear, well-understood impact on the energy use of a building, resulting in lower energy costs for building owners and occupants. However, the benefits of strong building energy codes extend far beyond traditional energy cost savings. Improved resilience, better indoor air quality and greater comfort are all being studied, and found, in buildings with more advanced energy codes. Direct societal health benefits also accrue when more efficient building energy codes are adopted and enforced. This presentation will discuss the results of a recent study that examines the impact updating building energy codes can have on societal health. The research calculates the health-associated benefits of updating a given states’ current residential building energy codes, including state specific amendments, to the unamended 2018 IECC using EPA’s Health Benefits per Kilowatt Hour tool. Results will focus on Midwestern states, with an emphasis on impacts in Iowa.

Electric Power Expansion Planning for a Transmission Network Under Demand Volatility
Jay Sandeep Ghodke, Iowa State University
Cameron A MacKenzie, Iowa State University
K. Jo Min, Iowa State University

Whether to build a new power plant at a community or transmit electricity from another community to meet its demand is a significant decision for generation and transmission planners. Such a decision has a significant consequence on labor and capital requirements as well as the entire transmission network. We investigate how various transmission expansion opportunities affect the total production cost and ultimately the consumer. Towards this aim we use the Optimal Power Flow (OPF) equations for system planning where the goal is to fulfill the customer demand while minimizing the total cost. We compare the effect of adding a generator and adding a transmission line on the locational marginal prices (LMP) and total production cost. Excel Solver is used to solve the OPF optimization problem.

Evaluating the Option Value of Adding a Generator under Demand Uncertainty: A Real Option Approach
Cameron A MacKenzie, Iowa State University
K. Jo Min, Iowa State University
Gazi Nazia Nur, Iowa State University

Customer demand for electricity is highly volatile and fluctuates over time. Adding a generator to the network is a risky investment as we are unaware of the future electricity demand. Therefore, this investment is considered a real option. This poster will describe the evaluation process of the additional generator option using the real option approach. Electricity demand will determine the locational marginal price of electricity to fulfil the electricity demand. We will compare how the locational marginal price changes the valuation of adding an additional generator. We will determine the option value of adding a generator based on the cost differences between having an additional generator and not having an additional generator. We examine the sensitivity of option value against relevant parameters such as the modelling horizon, volatility in electricity demand, and the discount rate. We extend the valuation of an option to consider an individual’s tolerance for risk.

Toolkit for Identification, Characterization and Energy Evaluation of Low-Efficiency Rural Housing
Diba Malekpour, Iowa State University

Residential buildings consume a significant portion of energy and electricity. The residential housing stock in rural areas of the U.S. is generally more likely to be older and less energy-efficient than those homes built in more urban areas. To improve the energy efficiency of such residential buildings, it is important to understand the energy performance characteristics of building in rural areas. This can help to better define which buildings are in greatest need of energy retrofits. In this research, through collaboration with the communities of Ames, Bloomfield, and Cedar Falls, Iowa, U.S., building energy use data and building characteristic data (from energy audits and assessors data) was used to assess the overall characteristics and energy performance of rural residential buildings. Such evaluations can be used to design policies and programs that benefit both individual building occupants, and also address absolute levels of consumption now and moving forward.



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