Welcome to the Hobbs Energy & Environment Decisions Research Group at the Johns Hopkins University.
We use optimization, economics, and decision analysis to plan, operate, and analyze power systems and their environmental effects, and for ecosystem restoration. In this
website, you can learn about the research questions we are interested in and the methods we use, be introduced to our students and graduates, and learn about Hopkins' graduate programs in
environmental and energy systems & policy.
Our students study a range of analysis, economics, and statistical
methods from courses within the EHE Systems & Policy Group, as well as other departments and schools in JHU (including Applied Mathematics
& Statistics, SAIS, Civil & Mechanical Engineering, and Economics). These methods are widely used for
sector decisions (especially operation and design of engineered systems, power supply);
public infrastructure (transport, water supply);
and public policy (simulating how private market efficiency and pollution emissions will respond to public policy changes,
and the incidence of benefits and costs). Our policy analysis work has a strong 'bottom-up' or engineering-economic flavor to it, including
rich technological and environmental detail. Such detail permits more realistic understanding of how policy can affect, for instance, costs, air emissions,
land use decisions, and fuel use in the electric power sector.
We focus on applying engineering-economic optimization models to address issues in the energy and environment sectors. Please click the examples below for more details.
As one example of this type of modeling, we develop models for optimizing transmission grids for renewable
energy that recognize the large uncertainties we face concerning
where, what types, and the amounts of renewable sources that will be developed. In particular, we use two-stage stochastic programming
to ask: what transmission investments should be made now, and which ones should be delayed, given the uncertain response of the power market to policy,
technology, and economic changes? We applied this method first in the UK and now in the Western US (see the publications sector of this website). We found that disregarding uncertainty
results in significantly inferior solutions, wasting money and decreasing the economic & environmental benefits of renewable power.
As another example, we have asked: what are the optimal sediment diversion sizes and configurations for restoring the Mississippi
River Delta? We apply integer
programming together with detailed models of water and sediment diversion and land building to identify cost-effective portfolios of so-called
engineered avulsions. Design parameters include the width, depth, and vertical placement of each structure in the river's levee. The analysis
shows that large avulsions reaching deep in the water column are essential for building large amounts of land.
What are our graduates doing now?
Graduates from this group are readily employed as consultants, engineers, public policy analysts,
energy traders and planners, and faculty. There is a great need for graduates who are familiar with environmental & energy problems and processes, and who
can use the methods of systems analysis & economics to provide quantitative answers to important planning & policy questions.
See the
Teaching
section of this website for summaries of the educational opportunities that EHE together with other JHU divisions offer in this area.