In America, Energy Awareness is still a challenge. Department of Energy has done an excellent job of consolidating energy information. In particular, DSIREUSA.ORG is an excellent tool that identifies the incentives in the respective regional. What we lack is awareness and quantifying the energy usage through the day, week, weekends, and seasons, year over year by various energy users and our facilities energy profile ...more »
Using Existing Datasets
My video describes a mathematical model which predicts which states would best host new solar energy rooftop photovoltaic system installation businesses. It is meant to promote efficient growth of the solar energy market.
Offshore wind development is of rapidly growing interest on the US Eastern seaboard where potentially strong wind energy resource is located in proximity to high priced energy demand centers. However, there is little historic, robust, publicly available wind resource data to guide developers and investors in making informed decisions about the specific siting of offshore wind farms, the wind farm layout, the turbine equipment ...more »
Hi United States of America.
You cuzzies should compile your demand by us suburb and location type and capacity of your plants and their marginal cost. use this data to do some sweet network optimisation so your low and high marginal cost plants are located optimally to reduce your transmission losses.
Although all you guys are pretty smart and I imagine of already do this.
Of the four Topic datasets listed in the NLE( National Energy Library That encompass all available energy data sets in the DOE complex) ...more »
As of recently, energy consumption at the residential level has become a hot topic of discussion within the United States. Although we have collectively made great progress over the past decade in becoming more environmentally conscious, we still have room for tremendous improvement. The U.S. government has recognized the need to become more energy efficient by creating subsidies in specific industries such as renewables, ...more »
As energy researchers, the Department of Energy datasets are the foundation of our work. Choosing the most valuable among them is like being asked to choose the most valuable book from a library – the value comes from the library itself, not the single book. Yet, no dataset in recent memory has proved more important than OpenEI.gov’s new Transparent Cost Database (http://en.openei.org/apps/TCDB/). This database displays ...more »
When we take out a loan for a house the most important thing we care about is the total cost and how fast can we pay that back. However, when it comes to things around us people seem to be completely unaware of how much energy it costs to make it. Embodied energy is defined as sum of all the energy required to produce goods or services. The concept can be useful in determining the effectiveness of energy producing/saving ...more »
One of the biggest problems with the electric industry today is that it insulates the consumer from the "pain" of the wholesale energy market. This should at least be offered as an option to consumers. There is no technical barrier to prevent the implementation of a retail real-time price market to consumers. This should be offered to them as an alternative to the other tariff options they are given. Fifteen states also ...more »
Households and businesses choose to be more efficient and “green” if extra effort and money leads to significant savings. The average professional may not be focused on reducing his or her carbon footprint but will be motivated by incentive. The Database of State Incentives for Renewable Energy (DSIRE) addresses this issue by allowing residents and businesses to access financial energy incentives in order to save money ...more »
We love the electric utility rates database. It allows customers to see the cost per kWh. If the market decides to go to time of use (TOU) then we have a pretty neat idea to make this database more valuable. If you could build this as a dynamic platform that updates in real time developers could use this dataset to create smart machines, like a smart washer machine. We When the price is right. The device turns on. ...more »
Develop predictive analytics software to forecast near-future energy pricing by extracting data from the United States Energy Information Administration (EIA) website including the historical prices of gasoline, crude oil, and electricity. Based upon these historical energy pricing trends, predicted weather patterns, location, and Monte-Carlo analysis that predicts future geopolitical events, extreme weather events, discovery ...more »