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published in Math, OR & Optimization Modeling

How OnLocation Analyzes the Impact of Renewables and Energy Storage on the U.S. Power GridBlog

OnLocation is an energy consulting company based in the Washington, D.C. area. They have extensive experience using integrated energy modeling to assess the costs and benefits of energy policies and technologies and provide insights into potential implementation challenges. OnLocation’s primary integrated modeling tool is The National Energy Modeling System (NEMS), which is the most trusted integrated energy model used for projections and policy analysis in the United States. Recently, we hosted a webinar to hear about OnLocation’s REStore model, a submodule of NEMS built in AIMMS. REStore represents electricity storage and the temporal pattern of renewable generation. Get the inside story below!Renewable energy on the riseAccording to the U.S. Department of Energy, solar installations in the U.S. have grown 35-fold since 2008. The average cost of solar photovoltaic (PV) panels has dropped nearly 50% since 2014, as well. This growth in renewables is posing new challenges for the electr

4920

3 years ago

MantombiNewcomer

posted in Math, OR & Optimization Modeling

Adding leading time, phasing in capital and economic life to a generation capacity expansion planning model

Good day, I have an electricity capacity expansion planning model which was developed in AIMMS and is working fine. However, now I need to add the following:Lead times, which differ for each technology. Currently, the model assumes that if a technology is selected by the model, it can produce electricity as soon as the model makes it available for capacity allocation. I need this to change and the model should make the technology’s capacity available after the lead time has expired. Phasing in capital, which also differ for each technology. The current model assumes that the capital for a chosen technology is payable immediately. The phasing in capital are connected to lead times. For example if a technology has a lead time of 2 years, the phasing in capital is also over 2 years, say 90% of capital is payable in year 1 and 10% in year 2. I need the capital for each technology to be phased in according to the phasing in capital percentages. Life of plant (Economic life), which also dif

3 years ago

Gloria QuintanillaFormer AIMMSian

published in Math, OR & Optimization Modeling

Improve Solve Times for your AIMMS Models with ODH-CPLEX

ODH-CPLEX is a high performance solver for Mixed Integer Programming (MIP) and Mixed Integer Quadratic Programming (MIQP/MIQCP) problems. ODH-CPLEX uses the CPLEX solver underneath and is made to run on modern multiprocessor machines. While it is designed for scheduling problems, it’s been deployed effectively on packing and other supply chain applications as well. We have noticed considerable runtime improvements for customers who use the CPLEX solver and ODH add-on. To give you more insight into these benefits, we invited the solver’s creators, Optimization Direct, for a webinar. Get a summary below or watch the full presentation by Dr. Robert Ashford and Dr. Alkis Vazacopoulos here. Improving Solve Times for Large Scale Optimization As supply chains become more complex, models are becoming larger and equally complex to run. ODHeuristics offers a toolset for handling large and/or difficult MIPs. The ODH-CPLEX solver goes further than CPLEX in finding an initial solution. It improves

2010

3 years ago

AanandAIMMSian

published in Sustainabilty & Social Good

Study 6Knowledge Base

Study 6: Accelerate Adoption of Relevant Customer Channels This study can help you ensure resource requirements in your supply chain. Impact – A very likely scenario is an accelerated adoption of certain customer channels, for instance online grocery. These channels might not be able to bear the increased shift in demand. Action – Relevant customer channels must be prioritized and the resource requirements to fulfill their demand must be studied. How –AIMMS S&OP Navigator allows users to prioritize their customers to increase the fulfillment in that channel. Although a forced higher fulfillment of one channel might lead to an overall lower margin, understanding the impact on your resources of putting a higher burden on that channel could prove to be invaluable in the long run. Demo –Customer Channel Priority in S&OP Navigator This article is part of the series Immediate Supply Chain Actions to Take Amid COVID-19.

7320

4 years ago

AanandAIMMSian

published in Sustainabilty & Social Good

Immediate Supply Chain Actions to Take Amid COVID-19Knowledge Base

There are many impacts of COVID-19 that will be felt by Supply Chains in the coming weeks and months. As advised by McKinsey, in the next 2-4 weeks it is critical for companies to understand the exposure throughout their value chain, take actions to address anticipated shortages and ensure resources requirements to restart. Supply chain planning tools like AIMMS SC Navigator can be used to directly address many of these impacts and help businesses recover quickly from losses. We hope that this series of articles gives you some direction - and we welcome your comments and advice from experiences relating to these challenges. Understand Exposure Study 1: Anticipate Best- and Worst-Case Operations Scenarios Study 2: Inspect Demand Trends Anticipate Shortages Study 3: Identify Optimal Sourcing Locations Ensure Resource Requirements Study 4: Create Multiple Plans for Resource Utilization Study 5: Refine Capacity Smoothing Study 6: Accelerate Adoption of Relevant Customer Channels

29610

4 years ago

AanandAIMMSian

published in Sustainabilty & Social Good

Study 1Knowledge Base

Study 1: Anticipate Best- and Worst-Case Operations Scenarios This study can help you understand exposure in your supply chain. Impact – Prolonged shutdowns will have both financial and operation implications, which are often very difficult to realize due to the complexity and far-reaching nature of supply chains. Action – Scenario planning is the key to understanding the many repercussions of sudden changes in demand and operations. Multiple best/worst case scenarios should be run under different demand conditions to study its impact on your supply chain. This can help expose any vulnerabilities in the network and take business a step closer towards preparedness. How – AIMMS Network Design Navigator allows users to adjust demand for unique customers, locations and products. This means that you can target very specific parts of your demand data and dynamically run different scenarios in those conditions to measure its effect. On top of this, after demand has been adjusted, demand si

6960

4 years ago

AanandAIMMSian

published in Sustainabilty & Social Good

Study 2Knowledge Base

Study 2: Inspect Demand Trends This study can help you understand exposure in your supply chain. Impact –Since demand will significantly fluctuate and spike for a period of time before reverting to the mean, accurate demand signaling for the future becomes a challenge. Misreading these signals often leads to the bullwhip effect. When shoppers decide to hoard all the toilet paper from the stores, it sends a signal through the supply chain to produce more. If the toilet paper companies decide to produce more, extra inventory is pushed into the distribution channel. Inevitably, demand will stabilize and when it happens, the stores will find themselves overstocked since customers are still exhausting their previous purchases. Action – Demand trends must be studied closely and any outliers must be treated to avoid inaccurate resource planning for the future. How – AIMMS Demand Forecasting Navigator can be used to perform time-series analysis for individual product groups. Machine learning

8590

4 years ago

AanandAIMMSian

published in Sustainabilty & Social Good

Study 3Knowledge Base

Study 3: Identify Optimal Sourcing Locations This study can help you anticipate shortages in your supply chain. Impact – As transportation lanes become unavailable, the availability of suppliers and components will decrease. Action – There is a strategic incentive in understanding the optimal sourcing location for specific customers, and in understanding the optimal sourcing location for the different resources. This is not to say that there is no value in having multiple supplier options, but understanding who your ideal supplier is can enable you to form the right relationship and expectations with them for the coming weeks. How – Network Design Navigator enables forcing a single source as a constraint. Once the constraint is relaxed, customers are free to choose from a multitude of suppliers. However, with the constraint enforced, the optimal source of the product can be studied while minimizing both production and distribution costs. Network Design can also be used to make certai

6420

4 years ago

AanandAIMMSian

published in Sustainabilty & Social Good

Study 4Knowledge Base

Study 4: Create Multiple Plans for Resource Utilization This study can help you ensure resource requirements in your supply chain. Impact –Manufacturing plants and warehouses will experience a sudden shift in resource utilization. There will most likely be a reduction in labor hours as fewer people will work in a closed, crowded environments. This could even lead to total shutdown of certain plants. Action – Study multiple resource utilization what-if scenarios and accommodate your production plan accordingly. How – S&OP Navigator allows users to simulate changes in resource capacity, labor hours, utilization, production lines and throughput rate dynamically within the application. The output is a detailed production and distribution plan that maximizes your margin. Note:If using your own bespoke app, another option is to re-adjust your objective function. We have seen this work very well in the past where a customer, during a crisis, moved from Production Maximization to Cost Min

8000

4 years ago

MantombiNewcomer

posted in Math, OR & Optimization Modeling

Not getting correct results for leading times, phasing in capital and life of plant

The data for leading times, phasing in capital and life of plant was imported to the model. A new declaration called Lead times was added. It looks like this: All the identifiers in the Lead Times declaration are supposed to take care of the leading times, phasing in capital and economic life. However, that is not happening. Ideally:The new power plants are supposed to be committed any time between 2013 and 2050. No new capacity is supposed to start at 2013 because of leading times. Those power plants with life of plant that pass 2050 are supposed to remain active until their corresponding life of plant comes to an end. Not all the capital can be taken in one year for new capacity, but a portion per each year of the leading time, according to p_phaseIn parameter.The attached model, opens on this page:One will have to:Click the input data button Select the scenario analysis, then click solve the scenario button. This solves the deterministic model. The corresponding results can be view

3 years ago

AanandAIMMSian

published in Sustainabilty & Social Good

Study 5Knowledge Base

Study 5: Refine Capacity Smoothing This study can help you ensure resource requirements in your supply chain. Impact – As certain resources are forced to close, other resources will experience an increased load. Companies may not be able to adequately ramp up capacity and lose sales. Action – Inventory must be kept in anticipation of resource unavailability in the future. At the same time, over-utilization must be reduced to not exhaust the resources. How –AIMMS S&OP Navigator enables users to perform capacity smoothing. This incurs a penalty on over-utilization and tries to minimize it by ensuring that inventory has been built up in anticipation of future shortages. It also suggests alternative distribution options for obtaining the product in case the resource in question is unavailable. Demo –Capacity Smoothing in S&OP Navigator This article is part of the series Immediate Supply Chain Actions to Take Amid COVID-19.

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4 years ago

juliolema

posted in Sustainabilty & Social Good

COVID-19 relief efforts: pro bono support.

Dear all, I write on behalf of baobab soluciones, an AIMMS partner based in Madrid. Since the onset of the pandemics we have decided to support organizations and public authorities and offer our solution development services pro-bono for crisis relief projects. We were thinking route optimisation, workforce optimisation, workload management, load balancing between centres, for healthcare, quick response and critical supply chains. Quick, technically simple projects that will help take the most out of our exhausted common resources. So if you encounter a situation where we can be of assistance, please do not hesitate to contact us. Thank you very much, Julio

4 years ago

Gloria QuintanillaFormer AIMMSian

published in Sustainabilty & Social Good

Supporting the Dutch Healthcare System with AIMMS-based Optimization During the COVID-19 PandemicBlog

This article is based on an interview with Erwin Hans, Professor of Operations Management in Healthcare at the University of Twente and Co-Founder of CHOIR and Rhythm B.V. Erwin is helping care givers address the challenge of critical care capacity and is looking for motivated students with AIMMS know-how to join the effort! AIMMS and I have a long-standing relationship. As a former student of applied mathematics at the University of Twente, an institution where I now teach, I completed my graduation project under the supervision of AIMMS’ founder, Johannes Bisschop. Jan, as we call him, was my thesis supervisor. My path in OR started at the Energy Research Foundation in the late 90s. During my time here, I conducted my master’s research on the liberalization of the European electricity market. Specifically, I developed an AIMMS-based model to understand how electricity transport, post liberalization, would impact prices. After completing my research, I took on a PhD position in logis

14010

4 years ago

GertjanChief AIMMSian

posted in Math, OR & Optimization Modeling

Linear Programming exercises

Came across a nice set of (3) Linear Programming exercises from the Erasmus University of Rotterdam (academic year 2016/2017) that might interest you. https://www.studeersnel.nl/nl/document/erasmus-universiteit-rotterdam/lineair-programmeren/verplichte-opgaven/exercise-set-aimms-16-17/999425/view

4 years ago

Jess EsGrand Master

published in Math, OR & Optimization Modeling

Webinar: How to improve the adoption of Robust Optimization by practitionersEvent

Join the next Robust Optimization Webinar - ROW Talk! Date: WEDNESDAY, May 20, 2020 Time: 9.00-10.00 Boston time, 15.00-16.00 Dutch time, 21.00-22.00 Singapore time. Featured speaker: Dick den Hertog (Tilburg University, Tilburg, The Netherlands) Panelists: Aharon Ben-Tal (Technion, Haifa, Israel) Dimitris Bertsimas (MIT, Cambridge, USA) Frans de Ruiter (CQM, Eindhoven, The Netherlands) The three panelists will react on Dick den Hertog's topic, How to improve the adoption of Robust Optimization by practitioners, followed by a plenary discussion. Zoom link: https://ethz.zoom.us/j/451585177 (for more joining options, see below) Join Zoom Meetinghttps://ethz.zoom.us/j/451585177 Meeting ID: 451 585 177 Dial by your location +1 786 635 1003 US (Miami) +1 213 338 8477 US (Los Angeles) +1 253 215 8782 US +1 312 626 6799 US (Chicago) +1 470 250 9358 US (Atlanta) +1 646 518 9805 US (New York) +1 669 219 2599 US (San Jose) Meet

2000

4 years ago

mahdifathiEnthusiast

published in Sustainabilty & Social Good

Contribution to the Handbook of Smart Energy Systems

Dear Colleague, I warmly invite you to contribute to the Handbook of Smart Energy Systems project https://meteor.springer.com/hses. Considering the importance of energy production, transmission, and distribution systems on the current and future of human living, to adjust to the new normal life of post-covid and cope with the climate change, this book focuses on enabling solutions for energy access to industry development and the general world population in more reliable and sustainable ways, focusing on improving the performance measures of the energy systems. The proposed book consists of four parts. Reliability enhancement of energy systems This part describes the reliability developments for energy systems. For instance, the reliability of the players in an energy distribution system, reliability of data collection procedures, and reliability of the logistics. The major topics may cover (not limited) are as follows:Importance of data reliability in energy demand forecast Influences

3300

3 years ago

ArthurFormer AIMMSian

published in Math, OR & Optimization Modeling

An AIMMS-based Toolkit for The Optimal Control of Today’s Complex Grids: A conversation with Prof. Nnamdi Nwulu and Dr. Saheed Lekan Gbadamosi (University of Johannesburg)

AIMMS has always had a tight relationship with academia, so we love to highlight professors, students and researchers who are using our software to solve problems around the world. Recently, we had the pleasure of speaking with Prof. Nnamdi Nwulu from the University of Johannesburg. Nnamdi recently published a book titled “Optimal Operation and Control of Power Systems Using an Algebraic Modelling Language.” He and his co-author, Dr. Saheed Lekan Gbadamosi, used AIMMS to model and solve many of the mathematical optimization problems found in modern power grids. His book is a great entry point for energy modeling students and practitioners. Its aim is to democratize energy system modeling. Read our conversation below. Let's do a quick round of introductions, would you like to start Nnamdi? Yes. My name is Nnamdi Nwulu and I am an Associate Professor at the University of Johannesburg. I am currently the Director of the Centre for Cyber-Physical Food, Energy & Water Systems (CCP-FEW

5770

3 years ago

Jess EsGrand Master

published in Sustainabilty & Social Good

Optimization during the pandemic: an AIMMS-based Vaccine Distribution Planning ApplicationNews

Many organizations now struggle with the task of sourcing and allocating COVID vaccines within their regions.We’ve recently published an interview with Theo Goutier of the Netherlands Municipal Health Services. Goutier, who has led Vaccine Program Operations, tells how they provided vaccinations to those who needed it most while dealing with fluctuating supply and demand, among many other complexities, and what insights they gained from the project.They used an AIMMS-based tool created by our partners at Quomare to:Compute what-if scenarios Determine the optimal number and location of vaccination stations Generate a ‘demand forecast’ for each location Balance required capacity per location, versus expected demand distribution over timeRead details of this case on our Blog: Increasing Speed and Efficiency of Vaccine Distribution During UncertaintyFollowing the success of this tool, a version of such a vaccine-planning application is now available for non-profit use through Math4Good, an

540

2 years ago

Gloria QuintanillaFormer AIMMSian

published in Math, OR & Optimization Modeling

Prof. Chiara Bordin Offers An Insider’s Look into the Field of Energy InformaticsInterview

AIMMS has long been in the toolbox of energy modelers. With the field undergoing a lot of change today, we were curious to hear from someone who is at the forefront of both energy modeling and one of the biggest challenges of our time: a transition to low-carbon energy systems. We had the pleasure of speaking with Chiara Bordin, Associate Professor of Energy Informatics at UiT, the Arctic University of Norway.Can you tell us a bit about yourself and your background?I am originally from a small town near Bologna, Italy. I did my master’s degree at the University of Bologna, as well as my PhD. In the last year of my PhD, I had the opportunity to spend some time as a visiting researcher in a foreign university and I decided to go to Durham University, in the UK. There was a lecturer there who was doing very interesting things in energy systems modeling. I felt that working with him would be a good experience, so I went there as a visiting student. I ended up staying there for the full yea

15510

3 years ago

Jan-WillemAIMMSian

published in Math, OR & Optimization Modeling

Call for feedback: Machine Learning and other AI technologies with AIMMS

From quite some AIMMS app developers we have heard demand for ‘enabling AI/ML’ in AIMMS or ‘Run AI/ML, extending the AIMMS platform’. We have ideas how we could indeed deliver this to you. For example:Making it easy to ‘add’ a Python script/program to your AIMMS project that can be fed with model data and from which the results can be returned to AIMMS identifiers. We can think of various ways to run such a Python script, think of Azure Function or maybe as a Docker container, etc.. Making it easy to call ready-to-use services such as ‘Azure Machine Learning’ from your AIMMS model, including the transfer of model data to and from that service.But before we make too many assumptions and start building functionality, we would like to learn more about your needs and expectations.So please tell us: How do you expect AIMMS to support you in applying Machine Learning and other AI technologies, apart from optimization, in your projects? And there is the broader topic. AIMMS has historically f

890

2 years ago

Dick den HertogEnthusiast

published in Math, OR & Optimization Modeling

Event: Analytics for a Better World Conference (June 1, 2022)Event

Conference Analytics for a Better World | Amsterdam | June 1, 2022 The Amsterdam Business School and analytics and technology company ORTEC have founded the Analytics for a Better World (ABW) Institute in collaboration with Professor Dimitris Bertsimas of the Massachusetts Institute of Technology The institute will work with NGOs, governments and non-profit organizations to contribute to the Sustainable Development Goals of the United Nations such as no poverty, good health and well-being and climate action using data and analytics.» Register now» To the conference websiteConference Analytics for a Better World | Amsterdam | June 1, 2022 About the Conference Who should join? Why should you join? Participation and registration Programme (timezone CET) Register now To the conference website About the ConferenceOn June 1, 2022 (between 14:00-17:10 CET) we are organizing a launching conference to bring together our key partners, researchers and (potential) sponsors. Our aim is to in

440

2 years ago

Jess EsGrand Master

published in Math, OR & Optimization Modeling

Suggested reading: Academic paper about Constraint Programming with AIMMS

Some of you may find this paper interesting - published 2013 but still relevant! “Developing Constraint Programming Applications with AIMMS” by Prof. Willem-Jan van Hoeve of Carnegie Mellon University Download the full paper in PDF from https://www.andrew.cmu.edu/user/vanhoeve/papers/aimms_cp_app.pdf Abstract. We describe the constraint programming interface of the optimization modeling systems AIMMS. First, we present the modeling language for basic constraint programming and advanced scheduling constructs, and specify how search can be controlled. Then we provide three example applications that illustrate how AIMMS can be used for developing constraint programming applications.

2200

4 years ago

Gloria QuintanillaFormer AIMMSian

published in Sustainabilty & Social Good

Prof. Edwin Zondervan on The Shift Towards Sustainability in Process Systems EngineeringInterview

We have had the pleasure of interviewing many academics about their use of AIMMS. Often, they are working on innovative research projects that will shape the future of our economy for years to come. Edwin Zondervan is one of them. Edwin is a professor of process systems engineering at Twente University and has been using AIMMS for several years. His work focuses on the energy transition and topics surrounding the hydrogen economy, biobased production, carbon capture and utilization, and electrochemical energy storage. We were curious about how he applies AIMMS in these areas. Can you tell us a little bit about yourself and your background? How did your interest in optimization and modeling develop? I was born and raised in Leeuwarden, Friesland – in the north of the Netherlands. I got a bachelor’s degree in chemical engineering with a specialization in process automation. This is where my interest in mathematics and chemical engineering was born. I continued with a master's in chemica

3790

3 years ago

Jess EsGrand Master

published in Math, OR & Optimization Modeling

Polaris Optimization Systems: Empowering Decision-making in the Energy SectorInterview

We spoke with Russ Philbrick, founder of Polaris Optimization Systems, about optimization solutions for energy sector customers. Find out how the AIMMS-based engine PSO (Power System Optimizer) helps the power industry make the most of renewable energy. Can you tell me a little about your background in the energy sector? I started working with Alstom back in 1999 and was responsible for the engines used to plan day-ahead unit commitment and reliability unit commitment. That project was very successful, and even today a number of power markets still run on AIMMS as the core engine, based on that work. What led you to start Polaris? In the mid-2000s, I was asked to support efforts to represent what Alstom was doing to support wind integration. I began to understand that, because of the variability and uncertainty of wind and solar, integration into the power grid presented new planning and operational challenges. With wind and solar, it’s a new kind of uncertainty and variability

6860

4 years ago

Dick den HertogEnthusiast

posted in Math, OR & Optimization Modeling

Next Analytics for a Better World is on October 28

1. The next Analytics for a Better World Webinar (ABW-W) is on Wednesday, October 28, 2020, EDT 12:00 PM (Boston time), CET 5:00 PM (Amsterdam time). Speaker: Jean-Philippe Vial (Geneva, Switzerland)Title: Analytics for the Design of Gravity-Driven Water Distribution Systems for Poor Rural Communities: the NeatWork Tool.Abstract: NeatWork is an optimization and simulation tool for the design of water-distribution systems with the aim of providing clean water to poor rural communities. The management of such systems must be cheap and simple, a requirement which prohibits power-driven equipment, such as pumps, and man-operated devices, such as regulators. Therefore, the physical system must be driven by gravity only. It must also be endowed with self-regulation to ensure flow invariance despite stochastic intermittent water withdrawals by independent users. The formulation as a least-cost design problem belongs to the realm of two-stage stochastic optimization, in which the second stage

3 years ago

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