Binghamton University:
100% Green Energy Consumption

Project Overview

Research was conducted to determine the requirements needed to convert Binghamton University Campus into a 100% Green Energy Consuming Facility. Initial efforts were focused to determine energy consumption data of Binghamton University and other “role model” Universities with much better consumption habits. Knowing the consumption and current green energy production via solar, the excess green energy was determined. Next, efforts were directed toward how to make up the deficit. The problem was broken into three approaches.

Approach

First, we gathered data on three Universities, and our own. We looked at each university for different reasons. Cornell was analyzed because it utilizes more hydroelectric power than any other university. University of New Hampshire was analyzed because it utilizes chemical energy production through garbage compaction gases. Lastly, Stanford for its utilization of Solar Energy. We determined the percentages of energy production and consumption of each university and investigated how geological factors play a role in green energy utilization.

Next, we attempted to adapt a logical solution for Binghamton’s Campus based on the geological factors and power consumption needs. We reported that approximately 30% of the campus’ needs were supplied by green sources. We then created a proposal for changes necessary to the campus infrastructure to achieve 100% green energy consumption.

DAQ Team Final System Architecture Schematics; Revision 4, Sheet 3

Project Achievements

Ultimately, we proposed to the President of the University, a plan to reaching 100% green. First, we concluded that a complete infrastructure upgrade would require upwards of $60 million up front and an additional $4 million per year. This price tag would establish a combination of solar, hydro, and wind solutions. For the sake of cost, we did not recommend this solution. We ultimately proposed the importation solution. Importing green energy from Wind farms in Ohio, was the cost-efficient solution costing only $5-6 million per year.

We formally submitted our findings to the University for their review and consideration, although received no response.

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