Johann Hurink

Johann Hurink
University of Twente | UT · Department of Applied Mathematics

Prof.dr.

About

271
Publications
27,004
Reads
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5,177
Citations
Additional affiliations
January 2010 - present
Landelijk Netwerk Mathematische Besliskunde (LNMB)
Position
  • Managing Director
July 2009 - present
University of Twente
Position
  • Professor (Full)
Description
  • Assisten, Associate and Full professor
July 2005 - June 2009
University of Twente
Position
  • Professor (Associate)

Publications

Publications (271)
Article
Hybrid Energy Storage System (HESS) have the potential to offer better flexibility to a grid than any single energy storage solution. However, sizing a HESS is challenging, as the required capacity, power and ramp rates for a given application are difficult to derive. This paper proposes a method for splitting a given load profile into several stor...
Preprint
Full-text available
Compensation mechanisms are used to counterbalance the discomfort suffered by users due to quality service issues. Such mechanisms are currently used for different purposes in the electrical power and energy sector, e.g., power quality and reliability. This paper proposes a compensation mechanism using EV flexibility management of a set of charging...
Article
Full-text available
In the resource allocation problem (RAP), the goal is to divide a given amount of a resource over a set of activities while minimizing the cost of this allocation and possibly satisfying constraints on allocations to subsets of the activities. Most solution approaches for the RAP and its extensions allow each activity to have its own cost function....
Article
We study the separable convex quadratic resource allocation problem with lower and upper constraints on nested sums of variables. This problem occurs in many applications, in particular battery scheduling within decentralized energy management (DEM) for smart grids. We present an algorithm for this problem that runs in O(nlogn) time and, in contras...
Article
This paper studies a planning problem for heating water. Hereby, boilers (e.g. gas or electric boilers, heat pumps or microCHPs) are used to heat the water and store it for domestic demands. We consider a simple boiler which is either turned on or turned off and has a buffer of limited capacity. The energy needed to run the boiler has to be bought...
Article
Full-text available
Due to the increasing penetration of electric vehicles (EVs) in the distribution grid, coordinated control of their charging is required to maintain a proper grid operation. Many EV charging strategies assume that the EV can charge at any rate up to a maximum value. Furthermore, many strategies use detailed predictions of uncertain data such as unc...
Preprint
We study the quadratic resource allocation problem and its variant with lower and upper constraints on nested sums of variables. This problem occurs in many applications, in particular battery scheduling within decentralized energy management (DEM) for smart grids. We present an algorithm for this problem that runs in $O(n \log n)$ time and, in con...
Article
Full-text available
Dendrite formation poses serious problems in the operation of zinc-based batteries. Electrode material and electrolyte composition are known to have an influence on the dendrite formation. In this paper possible solutions for the reduction of dendrite formation at the anode of a zinc-based battery are studied. The electro-chemical behaviour of vari...
Preprint
In the resource allocation problem (RAP), the goal is to divide a given amount of resource over a set of activities while minimizing the cost of this allocation and possibly satisfying constraints on allocations to subsets of the activities. Most solution approaches for the RAP and its extensions allow each activity to have its own cost function. H...
Preprint
Motivated by energy management for micro-grids, we study convex optimization problems with uncertainty in the objective function and sequential decision making. To solve these problems, we propose a new framework called ``Online Duality-Driven Optimization'' (ODDO). This framework distinguishes itself from existing paradigms for optimization under...
Preprint
We study a quadratic nonseparable resource allocation problem that arises in the area of decentralized energy management (DEM), where unbalance in electricity networks has to be minimized. In this problem, the given resource is allocated over a set of activities that is divided into subsets, and a cost is assigned to the overall allocated amount of...
Preprint
This paper studies a planning problem for supplying hot water in domestic environment. Hereby, boilers (e.g. gas or electric boilers, heat pumps or microCHPs) are used to heat water and store it for domestic demands. We consider a simple boiler which is either turned on or turned off and is connected to a buffer of limited capacity. The energy need...
Article
In this work we investigate the possibilities of ”soft-islanding” (near autarkic behaviour) a microgrid with 16 houses in the Netherlands, using the DEMKit simulation toolkit. We consider a situation where energy is generated by PV-panels as well as by a CHP and energy is stored using batteries as well as a heat buffer. This research is inspired by...
Article
Full-text available
We present an average case analysis of the minimum spanning tree heuristic for the power assignment problem. The worst‐case approximation ratio of this heuristic is 2. We show that in Euclidean d‐dimensional space, when the vertex set consists of a set of i.i.d. uniform random independent, identically distributed random variables in [0,1]d, and the...
Article
Full-text available
Off-grid houses can be considered an important concept to increase the access to electricity throughout the world. Although there are quite some initiatives in place to improve the access to electricity, the implementation rate of practical solutions is far below the UN Sustainable Development Goal 7: Energy (SDG 7) + for 2030. This situation is mo...
Article
Full-text available
The oxidation of halides, in particular bromide, has been studied in aqueous solutions on graphite electrodes by voltammetry, electrochemical impedance spectroscopy (EIS) and UV-Vis spectroscopy in light of its application in halide/halogen batteries used in microgrids. Voltammetry indicates fairly large differences in potentials and current densit...
Article
Full-text available
Constant energy supply for decentralized wastewater treatment plants (DWWTPs) is crucial in order to ensure itsfunctionality and prevent contamination of rivers and human illnesses due to pollution. However, power black-outs are a common problem in rural areas, which can affect the reliability of wastewater treatment plants.This paper presents a si...
Article
Full-text available
In this paper, a comprehensive model for the prediction of the state of charge of a battery is presented. This model has been specifically designed to be used in simulation tools for energy management in (smart) grids. Hence, this model is a compromise between simplicity, accuracy and broad applicability. The model is verified using measurements on...
Article
Full-text available
Like many hospital departments, the gynecology department of the Jeroen Bosch Hospital experienced difficulties with scheduling outpatient appointments at the medically preferred times. Despite the time invested in creating the schedule, the compliance of the achieved schedules with the preferences of gynecologists is low, and the number of schedul...
Article
The massive integration of renewable energy resources increases the uncertainty with respect to real-time operation of the electrical systems. This transition introduces new challenges and opportunities for various entities that are involved in energy generation, transmission, distribution and consumption such as system operators and market partici...
Article
Full-text available
This work uses experimental data to estimate the size of storage needed for an isolated off-grid household in two different regions (Austin, Texas, US, and Nunspeet, NL). In our study, an off-grid house is considered to be supplied with 100% renewable energy during the summer period, in which cooling demand is neglected, and a solar photovoltaic (P...
Article
Full-text available
The Ecovat is a seasonal thermal storage solution consisting of a large underground water tank divided into a number of virtual segments that can be individually charged and discharged. The goal of the Ecovat is to supply heat demand to a neighborhood throughout the entire year. In this work, we extend an integer linear programming model to describ...
Conference Paper
Full-text available
An important research direction in the field of district heating and cooling (DHC) systems is to enhance the flexibility of the networks by increasing their capability to integrate different heat sources and sinks. Reducing the network temperature to adequate levels (below 40°C) and using reversible heat pumps reduces the heat losses and enables co...
Article
Full-text available
Changes in our electricity supply chain are causing a paradigm shift from centralized control towards decentralized energy management. Within the framework of decentralized energy management, devices that offer flexibility in their load profile play an important role. These devices schedule their flexible load profile based on steering signals rece...
Chapter
A crucial challenge in future smart energy grids is the large-scale coordination of distributed energy generation and demand. In the last years several Demand Side Management approaches have been developed. A major drawback of these approaches is that they mainly focus on realtime control and not on planning, and hence cannot fully exploit the flex...
Article
Full-text available
The research on electrochemical carbon molecule oxidation started in the past years as new electrochemistries were researched for new fuel cells systems and batteries that may line up as backup energy supply and storage systems in off-grid and on-grid microgrids, as modeled by our group at the University of Twente [1-3]. By lining up these two disc...
Conference Paper
Full-text available
We present an average case analysis of the minimum spanning tree heuristic for the power assignment problem. The worst-case approximation ratio of this heuristic is 2. We have the following results: (a) In the one-dimensional case, with uniform [0,1]-distributed distances, the expected approximation ratio is bounded above by 2-2=(p+2), where p deno...
Article
Full-text available
In this work, we introduce QUEST (QUantile Estimation after Supervised Training), an adaptive classification algorithm for Wireless Sensor Networks (WSNs) that eliminates the necessity for online supervised learning. Online processing is important for many sensor network applications. Transmitting raw sensor data puts high demands on the battery, r...
Conference Paper
The introduction of local, often uncontrollable, generation units as well as larger loads such as electric vehicles (EVs) causes an increasing amount of stress on our energy supply chain, specifically on the distribution grids. Demand-side management (DSM) is often seen as a potential technology to counter-act this increasing stress on the (distrib...
Conference Paper
To be able to reach objectives such as peak shaving or self-consumption within smart grids, it becomes increasingly important to control smart grid ready devices within households. This paper explores the planning of devices with minimal runtime constraints and constraints on total cumulative production (e.g., buffer level), such as heat pumps and...
Conference Paper
Now that the internet of things is emerging, control of domestic assets within smart microgrids is also gaining more interest. Various demand side management approaches are presented in literature to control these assets and steer the aggregated consumption profile towards a target profile. Furthermore, these microgrids may operate in islanded mode...
Article
An increase in the number of volatile renewables in the electricity grid enhances the imbalance of supply and demand. One promising candidate to solve this problem is to improve the energy storage. The Ecovat system is a new seasonal thermal energy storage system currently under development. In this paper, an integer linear programming model is dev...
Article
Full-text available
Demand Side Management (DSM) is a popular approach for grid-aware peak-shaving. The most commonly used DSM methods either have no look ahead feature and risk deploying flexibility too early, or they plan ahead using predictions, which are in general not very reliable. To counter this, a DSM approach is presented that does not rely on detailed power...
Article
Full-text available
In this work, we investigate scheduling problems for electrical energy storage systems and formulate an algorithm that finds an optimal solution with minimal charging cycles in the case of a single device. For the considered problems, the storage system is used to reduce the peaks of the production and consumption within (part of) the electricity d...
Conference Paper
In this paper we extended the simulator based on the TRIANA concept, with a model for the heat demand of households. The heat demand is determined based on factors such as building properties, user setpoints and weather conditions. The simulator exploits the flexibility of both the electricity and heat components to optimize the stream of both comm...
Conference Paper
Various Demand Side Management (DSM) approaches have been developed the last couple of years to avoid costly grid upgrades. However, evaluation of these DSM methodologies is usually restricted to a use-case specific example, making comparison between different DSM approaches hard. This paper presents a novel, open source, load profile generator to...
Conference Paper
Demand side management is often envisioned as a promising technique to reduce peak loads, and match local generation and consumption in the future smart grid. To exploit flexibility offered by smart appliances, a methodology is required to steer the appliances towards better utilization of the grid. As conventional grid reinforcements are very cost...
Article
Full-text available
Modern computers allow software to adjust power management settings like speed and sleep modes to decrease the power consumption, possibly at the price of a decreased performance. The impact of these techniques mainly depends on the schedule of the tasks. In this article, a survey on underlying theoretical results on power management, as well as of...
Conference Paper
A crucial challenge in future smart energy grids is the large-scale coordination of distributed energy demand and generation. The well-known PowerMatcher is a promising approach that integrates demand and supply flexibility in the operation of the electricity system through dynamic pricing and a hierarchical bidding coordination scheme. However, as...
Article
Inland waterways form a natural network infrastructure with capacity for more traffic. Transportation by ship is widely promoted as it is a reliable, efficient and environmental friendly way of transport. Nevertheless, locks managing the water level on waterways and within harbors sometimes constitute bottlenecks for transportation over water. The...
Article
Full-text available
Background For a new district in the Dutch city Meppel, a hybrid energy concept is developed based on bio-gas co-generation. The generated electricity is used to power domestic heat pumps which supply thermal energy for domestic hot water and space heating demand of households. In this paper, we investigate direct control of the heat pumps by the u...
Article
The 6th Cologne-Twente Workshop on Graphs and Combinatorial Optimization (CTW 2007) was held at the University of Twente, The Netherlands, 29-31 May, 2007. The CTW started as a series of biennial meetings at the Universities of Cologne in Germany and Twente in the Netherlands. Ever increasing interest has turned the CTW into a now annual event with...
Article
Many Demand Side Management (DSM) approaches use energy prices as steering signals. This paper shows that such steering signals may result in power quality problems and high losses. As an alternative, this paper proposes to use desired (e.g., flat) power profiles as steering signals and presents an efficient scheduling algorithm that can follow des...
Conference Paper
The current growth of smart grid capable appliances motivates the development of general and flexible software systems to support these devices. The FlexiblePower Application Infrastructure (FPAI) is such a system, which classifies devices by their type of flexibility. Subsequently, energy applications only have to support these flexibility classes...
Conference Paper
The number of (hybrid) electric vehicles is growing, leading to a higher demand for electricity in distribution grids. To investigate the effects of the expected peak demand on distribution grids, a stress test with 15 electric vehicles in a single street is conducted and described in this paper. The test is conducted in a neighbourhood where both...
Article
This paper studies planning problems for a group of heating systems which supply the hot water demand for domestic use in houses. These systems (e.g. gas or electric boilers, heat pumps or microCHPs) use an external energy source to heat up water and store this hot water for supplying the domestic demands. The latter allows to some extent a decoupl...