Residential demand management using individualised demand aware price policies

This paper presents a novel approach to Demand Side Management (DSM), using an “individualised” price policy, where each end user receives a separate electricity pricing scheme designed to incentivise demand management in order to optimally manage flexible demands. These pricing schemes have the objective of reducing the peaks in overall system demand in such a way that the average electricity price each individual user receives is non-discriminatory. It is shown in the paper that this approach has a number of advantages and benefits compared to traditional DSM approaches. The “demand aware price policy” approach outlined in this paper exploits the knowledge, or demand-awareness, obtained from advanced metering infrastructure. The presented analysis includes a detailed case study of an existing European distribution network where DSM trial data was available from the residential end-users

Parallel statistical model checking for safety verification in smart grids

By using small computing devices deployed at user premises, Autonomous Demand Response (ADR) adapts users electricity consumption to given time-dependent electricity tariffs. This allows end-users to save on their electricity bill and Distribution System Operators to optimise (through suitable time-dependent tariffs) management of the electric grid by avoiding demand peaks. Unfortunately, even with ADR, users power consumption may deviate from the expected (minimum cost) one, e.g., because ADR devices fail to correctly forecast energy needs at user premises. As a result, the aggregated power demand may present undesirable peaks. In this paper we address such a problem by presenting methods and a software tool (APD-Analyser) implementing them, enabling Distribution System Operators to effectively verify that a given time-dependent electricity tariff achieves the desired goals even when end-users deviate from their expected behaviour. We show feasibility of the proposed approach through a realistic scenario from a medium voltage Danish distribution network

User flexibility aware price policy synthesis for smart grids

In order to optimally manage a modern electricity distribution network, peaks in residential users demand should be avoided, as this can reduce energy and network asset management costs. Furthermore, this must be done without compressing residential users demand. To this aim, in a demand response setting, residential users are given a price policy, which economically motivates them to shift their loads in order to achieve this goal. However, if the price policy for all users is similar, this demand response may result in simply shifting the demand peaks (peak rebound), leaving the problem unsolved. In this paper we propose a novel methodology which i) for each network substation s, automatically computes the desired power profile to be kept in order to optimally manage the network itself, ii) for each network substation s, automatically synthesizes individualized price policies for residential users connected to s, so that s is kept at the desired profile. Note that price policies individualization avoids the peak rebound problem, as different users have different low tariff areas. Furthermore, our methodology measures the flexibility of a residential user as the capacity needed by a home energy storage system (e.g., a battery) to always follow the given price policy, thus mitigating residential users discomfort. We show the feasibility of our approach on a realistic scenario taken from an existing medium voltage Danish distribution network

Applications of Industrial Wireless Sensor Networks

International audienceThe collaborative nature of industrial wireless sensor networks (IWSNs) brings several advantages over traditional wired industrial monitoring and control systems, including self-organization, rapid deployment, flexibility, and inherent intelligent processing. In this regard, IWSNs play a vital role in creating more reliable, efficient, and productive industrial systems, thus improving companies' competitiveness in the marketplace. Industrial Wireless Sensor Networks: Applications, Protocols, and Standards examines the current state of the art in industrial wireless sensor networks and outlines future directions for research

Stereocontrolled Total Synthesis of 1a,25-Dihydroxyergocalciferol

A stereocontrolled total synthesis of the vitamin D2metabolite 1a,25-dihydroxyergocalciferol (1), which involves a coupling of the previously described A ring synthon 2 with the appropriately functionalized C-D moiety 3, is described. In the key step, stereochemical control is achieved by taking advantage of the thermal reversibility of a [3+ 2]-cyc1oaddition of methyl 0,~-dimethylacrylate and the C-D C-23 nitrone 4 to effect conversion to the C-24S isoxazolidinecarboxylic acid methyl ester Sa, which is readily transformed by reduction followed by elimination of the nitrone function into the necessary C-D precursor

Spread and shrink: Point of interest discovery and coverage with mobile wireless sensors

International audienceIn this paper we tackle the problem of deploying mobile wireless sensors while maintaining connectivity with a sink throughout the deployment process. These mobile sensors should discover some points of interest (PoI) in an autonomous way and continuously report information from the observed events to the sink. Unlike previous works, we design an algorithm that uses only local information and local interactions with surrounding sensors. Moreover, unlike other approaches, our algorithm implements both the discovery and the coverage phase. In the discovery phase, the mobile sensors spread to discover new events all over the field and in the second phase, they shrink to concentrate only on the discovered events, named points of interest. We prove that connectivity is preserved during both phases and the spreading phase is terminated in a reasonable amount of time. Real experiments are conducted for small-scale scenarios that are used as a “proof of concept”, while extensive simulations are performed for more complex scenarios to evaluate the algorithm performance. A comparison with an existing work which uses virtual forces has been made as well. The results show the capability of our algorithm to scale fast in both discovery, coverage and shrinking phases

Residential demand management using individualised demand aware price policies

This paper presents a novel approach to demand side management (DSM), using an “individualized” price policy, where each end user receives a separate electricity pricing scheme designed to incentivize demand management in order to optimally manage flexible demands. These pricing schemes have the objective of reducing the peaks in overall system demand in such a way that the average electricity price each individual user receives is non-discriminatory. It is shown in this paper that this approach has a number of advantages and benefits compared to traditional DSM approaches. The “demand aware price policy” approach outlined in this paper exploits the knowledge, or demand-awareness, obtained from advanced metering infrastructure. The presented analysis includes a detailed case study of an existing European distribution network where DSM trial data was available from the residential end-users

Cardiovascular Hypertension-Mediated Organ Damage in Hypertensive Urgencies and Hypertensive Outpatients

BACKGROUND: The prevalence of hypertension mediated organ damage (HMOD) in patients attending the Emergency Department (ED) with symptomatic blood pressure (BP) rise is unknown, and whether HMOD varies between asymptomatic and symptomatic patients with grade 3 hypertension is unclear. AIM: This study aimed to investigate cardiac and vascular HMOD in hypertensive urgencies (HU) and asymptomatic outpatients with grade 1–3 hypertension. METHODS: Patients attending the ED with a symptomatic BP rise ≥180/110 mmHg were prospectively enrolled (HU group), after the exclusion of acute organ damage. HMOD and BP were assessed after 72 h from ED discharge in an office setting. These patients were matched by age and sex to outpatients with grade 3 hypertension (Grade 3 group), and by age, sex, and 72 h office BP values to outpatients with any grade hypertension (Control group). RESULTS: A total of 304 patients were enrolled (76 patients in the HU group, 76 in the Grade 3 group, and 152 in the Control group). Grade 3 patients had increased left ventricular mass (LVMi) compared to patients with HU (106.9 ± 31.5 vs. 96.1 ± 30.7 g/m(2), p = 0.035). Severe left ventricular hypertrophy (LVH) was more frequent in grade 3 (21.1 vs. 5.3%, p = 0.004), and pulse wave velocity (PWV) was similar in the two groups. There was no difference in LVMi between ED and Control patients (96.1 ± 30.7 vs. 95.2 ± 26.6 g/m(2), p = 0.807). LVH prevalence was similar (43.4 vs. 35.5%, p = 0.209, respectively), but patients with HU had thicker interventricular septum (11.9 ± 2.2 vs. 11.1 ± 2.2 mm, p = 0.007). PWV was similar between these two groups. Patients with HU needed more antihypertensive drugs than Control patients (2 vs. 1, p < 0.001). CONCLUSIONS: Patients with HU had a better cardiac HMOD profile than outpatients with grade 3 hypertension. Their cardiac and vascular HMOD is more comparable to an outpatient with similar in-office BP, although they need more antihypertensive medications