The user-value of rural electrification: An analysis and adoption of existing models and theories

User-value is a determining factor for product acceptance in product design. Research on rural electrification to date, however, does not draw sufficient attention to the importance of user-value with regard to the overall success of a project. This is evident from the analysis of project reports and applicable indicators from agencies active in the sector. Learning from the design, psychology and sociology literatures, it is important that rural electrification projects incorporate the value perception of the end-user and extend their success beyond the commonly used criteria of financial value, the appropriateness of the technology, capacity building and technology uptake. Creating value for the end-user is particularly important for project acceptance and the sustainability of a scheme once it has been handed over to the local community. In this research paper, existing theories and models of value-theory are transposed and applied to community operated rural electrification schemes and a user-value framework is developed. Furthermore, the importance of value to the end-user is clarified. Current literature on product design reveals that user-value has different properties, many of which are applicable to rural electrification. Five value pillars and their sub-categories important for the users of rural electrification projects are identified, namely: functional; social significance; epistemic; emotional; and cultural values. These pillars provide the main structure for the conceptual framework developed in this research paper. It is proposed that by targeting the values of the end-user, the key factors of user-value applicable to rural electrification projects will be identified and the sustainability of the project will be better ensured. © 2014 The Authors.

Neuroprotective and immunomodulatory properties of the new PPARγ agonist MDG548: an in vitro and in vivo study in PD models

Neuroinflammation is a key component of Parkinson’s disease (PD) neuropathology. Skewed microglia activation with pro-inflammatory prevailing over anti-inflammatory phenotypes may contribute to neurotoxicity via the production of cytokines and neurotoxic species. Therefore, microglia polarization has been proposed as a target for neuroprotection. The peroxisome proliferator-activated receptor gamma (PPARγ) is expressed in microglia and peripheral immune cells, where it is involved in macrophages polarization and in the control of inflammatory responses, by modulating gene transcription. Several studies have shown that PPARγ agonists are neuroprotective in experimental PD models in rodents and primates. however safety concerns have been raised about PPARγ agonists thiazolidinediones (TZD) currently available, prompting for the development of non-TZD compounds. Aim of this study was to characterize a novel PPARγ agonist non TZD, MDG548, for its potential neuroprotective effect in PD models and its immunomodulatory activity as the underlying mechanism of neuroprotection. The neuroprotective activity of MDG548 was assessed in vivo in the subacute MPTP model and in the chronic MPTP/probenecid (MPTPp) model of PD. MDG548 activity on microglia activation and phenotype was investigated in the substantia nigra pars compacta (SNc) via the evaluation of pro- (TNF-α and iNOS) and anti-inflammatory (CD206) molecules, with fluorescent immunohistochemistry. Moreover, cultured murine microglia MMGT12 were treated with MDG548 in association with the inflammagen LPS, pro- and anti-inflammatory molecules were measured in the medium by ELISA assay and phagocytosis was evaluated by fluorescent immunohistochemistry for CD68. MDG548 arrested dopaminergic cells degeneration in the SNc in both the subacute MPTP and the chronic MPTPp models of PD, and reverted MPTPp-induced motor impairment. Moreover, MDG548 reduced microglia activation, iNOS and TNF-α production, while induced CD206 in microglia. In cultured unstimulated microglia, LPS increased TNF-α production and CD68 expression, while decreased CD206 expression. MDG548 reverted LPS effect on TNF-α and CD206 restoring physiological levels, while strongly increased CD68 expression. Results suggest that the PPARγ agonist MDG548 is neuroprotective in experimental models of PD. MDG548 targets microglia polarization by correcting the imbalance between pro- over antiinflammatory molecules, offering a novel immunomodulatory approach to neuroprotection.

Integration of micro- and macroscopic models for pedestrian evacuation simulation

Simulation of pedestrian evacuations of smart buildings in emergency is a powerful tool for building analysis, dynamic evacuation planning and real-time response to the evolving state of evacuations. Macroscopic pedestrian models are low-complexity models that are and well suited to algorithmic analysis and planning, but are quite abstract. Microscopic simulation models allow for a high level of simulation detail but can be computationally intensive. By combining micro- and macro- models we can use each to overcome the shortcomings of the other and enable new capability and applications for pedestrian evacuation simulation that would not be possible with either alone. We develop the EvacSim multi-agent pedestrian simulator and procedurally generate macroscopic flow graph models of building space, integrating micro- and macroscopic approaches to simulation of the same emergency space. By “coupling” flow graph parameters to microscopic simulation results, the graph model captures some of the higher detail and fidelity of the complex microscopic simulation model. The coupled flow graph is used for analysis and prediction of the movement of pedestrians in the microscopic simulation, and investigate the performance of dynamic evacuation planning in simulated emergencies using a variety of strategies for allocation of macroscopic evacuation routes to microscopic pedestrian agents. The predictive capability of the coupled flow graph is exploited for the decomposition of microscopic simulation space into multiple future states in a scalable manner. By simulating multiple future states of the emergency in short time frames, this enables sensing strategy based on simulation scenario pattern matching which we show to achieve fast scenario matching, enabling rich, real-time feedback in emergencies in buildings with meagre sensing capabilities.

Optimizing the operation of straight-grate iron-ore pellet induration systems using process models

Mathematical models of straight-grate pellet induration processes have been developed and carefully validated by a number of workers over the past two decades. However, the subsequent exploitation of these models in process optimization is less clear, but obviously requires a sound understanding of how the key factors control the operation. In this article, we show how a thermokinetic model of pellet induration, validated against operating data from one of the Iron Ore Company of Canada (IOCC) lines in Canada, can be exploited in process optimization from the perspective of fuel efficiency, production rate, and product quality. Most existing processes are restricted in the options available for process optimization. Here, we review the role of each of the drying (D), preheating (PH), firing (F), after-firing (AF), and cooling (C) phases of the induration process. We then use the induration process model to evaluate whether the first drying zone is best to use on the up- or down-draft gas-flow stream, and we optimize the on-gas temperature profile in the hood of the PH, F, and AF zones, to reduce the burner fuel by at least 10 pct over the long term. Finally, we consider how efficient and flexible the process could be if some of the structural constraints were removed (i.e., addressed at the design stage). The analysis suggests it should be possible to reduce the burner fuel lead by 35 pct, easily increase production by 5+ pct, and improve pellet quality.

Models for magnetohydrodynamics of aluminium electrolysis cells

The electric current and the associated magnetic field in aluminium electrolysis cells create effects limiting the cell productivity and possibly cause instabilities: surface waving, ‘anode effects’, erosion of pot lining, feed material sedimentation, etc. The instructive analysis is presented via a step by step inclusion of different physical coupling factors affecting the magnetic field, electric current, velocity and wave development in the electrolysis cells. The full time dependent model couples the nonlinear turbulent fluid dynamics and the extended electromagnetic field in the cell, and the whole bus bar circuit with the ferromagnetic effects. Animated examples for the high amperage cells are presented. The theory and numerical model of the electrolysis cell is extended to the cases of variable cell bottom of aluminium layer and the variable thickness of the electrolyte due to the anode non-uniform burn-out process and the presence of the anode channels. The problem of the channel importance is well known Moreau-Evans model) for the stationary interface and the velocity field, and was validated against measurements in commercial cells, particularly with the recently published ‘benchmark’ test for the MHD models of aluminium cells [1]. The presence of electrolyte channels requires also to reconsider the previous magnetohydrodynamic instability theories and the dynamic wave development models. The results indicate the importance of a ‘sloshing’ parametrically excited MHD wave development in the aluminium production cells.